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  • 1.
    Baglee, David
    et al.
    University of Sunderland, UK.
    Gorostegui, Unai
    Mondragon University, Spain.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland, Finland.
    Campos, Jaime
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Sharma, Pankaj
    Indian Institute of Technology Delhi, India.
    Optimizing Condition Monitoring of Big Data Systems2017In: Proceedings of the 2017 International Conference on Data Mining: DMIN'17 / [ed] Robert Stahlbock, Mahmoud Abou-Nasr, Gary M. Weiss, CSREA Press, 2017, p. 127-131Conference paper (Refereed)
    Abstract [en]

    Industrial communication networks are common in a number of manufacturing organisations. The high availability of these networks is crucial for smooth plant operations. Therefore local and remote diagnostics of these networks is of primary importance in determining issues relating to plant reliability and availability. Condition Monitoring (CM) techniques when connected to a network provide a diagnostic system for remote monitoring of manufacturing equipment. The system monitors the health of the network and the equipment and is therefore able to predict performance. However, this leads to the collection, storage and analyses of large amounts of data, which must provide value. These large data sets are commonly referred to as Big Data. This paper presents a general concept of the use of condition monitoring and big data systems to show how they complement each other to provide valuable data to enhance manufacturing competiveness.

  • 2.
    Baglee, David
    et al.
    University of Sunderland, UK.
    Gorostegui, Unai
    Mondragon University, Spain.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland, Finland.
    Sharma, Pankaj
    Indian Institute of Technology Dehli, India.
    Campos, Jaime
    Linnaeus University, Faculty of Technology, Department of Informatics.
    How can SMEs adopt a new method to advanced maintenance strategies: A Case study approach2017In: 30th International Congress & Exhibition on Condition Monitoring and Diagnostic Engineering Management COMADEM, July 10th-13th 2017, University of Central Lancashire, 2017Conference paper (Refereed)
  • 3.
    Baglee, David
    et al.
    University of Sunderland, UK.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland, Finland.
    Campos, Jaime
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Sharma, Pankaj
    Indian Institute of Technology Delhi, India.
    How Does CBM Function in the Real World?2016In: MFPT 2015 and ISA’s 61st International Instrumentation Symposium, At Dayton. Ohio, 2016Conference paper (Refereed)
    Abstract [en]

    Manufacturing organizations are under increasing pressure to meet customer and corporate demands by implementing improved maintenance initiatives to reduce costs, improve equipment availability, and protect against failure of critical equipment. Condition Based Maintenance (CBM) is widely accepted and used as a financially effective maintenance strategy which is used to anticipate equipment or component failure. Recent technological advances in component sensitivities, size reductions, and most importantly, cost has opened up an entirely new area of diagnostics. The economic benefit of CBM is achieved if the approach to maintenance is applied to the right equipment and through appropriate tools. In particular the degradation behavior of the equipment needs to be understood to correctly deploy a CBM approach and specific actions to specific equipment or components. Failure modes can be applied to support and optimise the decision making process. Using failure modes can be an efficient low-risk tool process for the prevention of problems, and is referred to as a deductive technique that consists of failure identification in each component. However, the literature is limited regarding the importance and the role of various failure models in different industrial sectors. Thus, if failure models are not known, understood and utilised correctly the use of CBM will not lead to financial benefits. The paper examines the relationship between the failure patterns observed in industrial maintenance practice and the corresponding impact on adoption and potential benefits of Condition-Based Maintenance (CBM). The paper will explain the need for accurate and up to date equipment information to support the correct maintenance approach. The paper suggests the importance of further supporting such investments by appropriately addressing the need to collect relevant data as a basis upon which to make the right decisions.

  • 4.
    Campos, Jaime
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    Agent and web technologies for conflict resolution between production and maintenance2008In: Spectrum, Vol. 48Article in journal (Refereed)
  • 5.
    Campos, Jaime
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. Mechanical Engineering.
    AN ONTOLOGY FOR ASSET MANAGEMENT2007In: IFAC Conference on Cost Effective Automation in Networked Product Development and Manufacturing: Cost reduction with maintenance systems, 2007Conference paper (Refereed)
  • 6.
    Campos, Jaime
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Current and Prospective Information and Communication Technologies for the e-maintenance applications2012In: Proceedings of the 2nd International Workshop & Congress on eMaintenance : Dec 12-14 Luleå, Sweden : eMaintenace: trends in technologies and methodologies, challenges, possibilities and applications, 2012, p. 57-62Conference paper (Refereed)
    Abstract [en]

    This paper is about the current state of affairs when it comes tothe Information and Communication Technologies (ICTs) inCondition Monitoring (CM) and Maintenance. In addition, thereare significant efforts done to standardise the systems for CM andMaintenance under discussion. The ICTs such as the Webtechnologies are presented, since they are an integral part of theE-maintenance approach. The author goes through the latestdevelopments in the area of Web technologies and the studiesconducted by the World Wide Web Consortium (W3C). Itemphasises the Semantic Web and its standardizing practices, theWeb 2.0 and its Social media technologies, which are nonexistingto the moment at the e-maintenance applications. Itdiscusses applications in the domain of interest and how the latestICTs, especially the developments of the Web technologies andthe Cloud computing, can make impact and might affect thefuture e-maintenance applications.

  • 7.
    Campos, Jaime
    Linnaeus University, Faculty of Technology, Department of Informatics. LNU.
    Current and prospective information and communication technologies for the e-maintenance applications2014In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 20, no 3, p. 233-248Article in journal (Refereed)
    Abstract [en]

    Purpose – The purpose of this paper is to presents the current and prospective state of affairs when it comes to the information and communication technologies (ICTs) in condition monitoring (CM) and maintenance, especially for the e-maintenance approach.

    Design/methodology/approach – The author presents some of the standards for the domain of interest, such as the open system architecture condition-based maintenance. In addition, the e-maintenance approach is gone through as well as such ICTs as, for instance, the emergent web technologies, the service-oriented architecture (SOA), the web services and the Web 2.0 are analysed.

    Findings – The findings highlight the need for a clearer understanding of the characteristics of different ICTs, such as Web 2.0 technologies, Cloud computing, agent technologies, etc., to be able to use them in an optimal manner for various purposes in the e-maintenance applications. In addition, the standardisation of the emergent ICTs different aspects is shown to be an important factor for the development of different phases of software as well as for its overall acceptance.

    Research limitations/implications – The given work presents the current and emergent ICTs for the domain of interest and provides the discussion and various issues connected to these ICTs.

    Practical implications – The author provides practical implications of the different ICTs mentioned in the paper, i.e. benefits and possibilities as well as risks when those technologies are implemented for CM and maintenance, especially for the e-maintenance.

    Originality/value – The paper provides insight into various current and prospective ICTs for the domain of interest that provides important knowledge for different employees with the objective of a purchase, users of the system, such as technicians, maintenance engineers as well as developers of these systems. Consequently, the paper provides knowledge of different characteristics of the current and prospective technologies, which is important to take into account in order to be able not only to use them in an optimal manner, but also to understand possible constraints if they are used in the system and in applications in the domain.

  • 8.
    Campos, Jaime
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    Development in the application of ICT in condition monitoring and maintenance2009In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 60, no 1, p. 1-20Article in journal (Refereed)
  • 9.
    Campos, Jaime
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    ICT tools for e-maintenance2008Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Information and Communication Technologies (ICT) have made an impact on various parts of a company. The need of many companies of integrating the wealth of information and processes for profitable business has been highlighted since the middle of the 1980s. Further, the commercialization of the Internet began during the middle of the 1990s. The combinations of these developments and the positive impact of ICTs on maintenance and thereby on productivity have been, lately, realized by academia and industry alike, and a new concept, e-maintenance, has been coined.

    The main problem of the present work was "How ICT can be used for integrating various data and information to provide better decision support and improve productivity". The main problem addressed was divided into three sub research questions. (1) Which approach should be considered to develop e-maintenance systems? (2) How can web and agent technologies be used in e-maintenance? (3) Which ICT architecture and ICT tools should be used to enhance productivity in the organization/maintenance department and the decision-making process? The research process in this study was based on design science, .i.e. constructive research approach. However, during the first phases of the study has empirical studies been conducted to get an overall understanding of the domain of study.

    The present study first presents the state of the art. It was found that in many research projects the application of ICTs to condition-based maintenance (CBM) has been part of the whole work. Since CBM is the most desirable maintenance strategy it needs more focused attention. However,it was found that limited consistent and systematic efforts have been made, in an isolated manner,in industry and academia. A few researchers are using mobile devices, especially personal digital assistants (PDA) with embedded technology and even fewer with web technology.

    The study continues by presenting e-maintenance solutions. It goes through the modelling phase in the development of a system and suggests an ontology approach. Further, the use of web and agent technologies on a conceptual level was studied and an architecture was proposed for the same purpose, i.e. e-maintenance. Finally, a prototype was developed with the use of the ICTs tools and an architecture was proposed, Web and mobile architecture. It is an n-tier architecture, where the main client was a mobile device, i.e. PDA. The developed system with the use of various ICTs, viz. web technology, mobile device and wireless communication is believed to make maintenance personnel more productive and help to achieve better decisions.

  • 10.
    Campos, Jaime
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Information Systems development aspects for the mobile web technologies2015In: Social Technologies, ISSN 2029-7564, E-ISSN 2029-7564, Vol. 5, no 1, p. 62-72Article in journal (Refereed)
    Abstract [en]

    Purpose – The paper goes through and outlines the developments of IS methodologies as well as certain research approaches applied. In addition, the technical aspects of the ICT architectures are discussed for purposes of the development and implementation of the mobile web technologies for the industrial domain.

    Design/methodology/approach – The author organizes the relevant literature findings in three sections named the ICTs in the industrial maintenance domain, web oriented architecture and the IS development methodologies. The findings are analysed and discussed while highlighting aspects of the ICT architectures, IS methodologies and different approaches that one needs to be aware of for successful design and implementation of the mobile web technologies.

    Findings – The results reveal that mobile technologies have been developed mainly with the prototype and design approach where emphasis has been on the technical aspects. For the above mentioned reason the author reviews the area of the IS development methodologies as well as the ICT architectures, which shows rapid and dynamic process over time. In addition, it was found that for successful planning, implementation and use of the mobile web technologies it is important to emphasize other aspects and not justthe technological ones. The research approaches that shed light on the IS development process are the Action design research as well as Participatory design approach.

    Research limitations/implications – The current work presented in this paper hows that to develop sustainable ICTs, especially mobile web technologies for the industrial domain, there is a need to consider various aspects which put an emphasis on not just the technological aspects of the developed systems but also, for instance, on the organizational context as well as the user’s needs and various stakeholders. It is, therefore, important to choose proper IS methodologies, tools, techniques and approaches for sustainable ICTs in the domain of interest.

    Practical implications – The current work pinpoints important aspects to understand and consider when choosing the IS methodology, tools and techniques for the mobile web technologies.

    Originality/Value – The paper pinpoints important characteristics to consider when planning to develop and implement mobile web technologies into the industrial maintenance engineering domain.

  • 11.
    Campos, Jaime
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Managing the information systems in the industrial domain2016In: Cogent Business & Management, E-ISSN 2331-1975, Vol. 3, no 1, p. 1-33Article in journal (Refereed)
    Abstract [en]

    The purpose of the paper is to understand the developments of the Information Systems (IS) and Information technology, i.e. Information and Communication Technologies (ICTs) in the area of Condition Monitoring and Maintenance, especially e-maintenance. Therefore, the paper goes through and categorises the literature findings with the support of two models, i.e. the three era and the IS capability models to analyse and understand the maturity of the ICTs in the domain. The result shows that many researchers are working with software applications that are in the data processing era, which is highly important for the technologies and then the management of IS era. Conversely, both in the Management Information Systems and the Strategic Thinking era fewer findings have been made so far. Further on, in the fourth era, named the Information System (IS) capability, the research findings are mostly at the rudimentary stage. The implementation of Web technologies, such as the Web 2.0, i.e. Social media technologies, can facilitate the learning aspects in the maintenance department as well as collaboration between employees, which are important aspects of the last era, i.e. in the IS capability era. The paper highlights interesting organisational as well as ICT aspects that should be considered when planning, developing and implementing the e-maintenance IS.

  • 12.
    Campos, Jaime
    Linnaeus University, Faculty of Technology, Department of Informatics. LNU.
    Modelling the Web 2.0 oriented sites for the e-maintenance applications2013In: International congress of condition monitoring and diagnostic engineering management: Congress Proceedings, COMADEM 2013, 11-13 June, Helsiki, 2013, p. 52-57Conference paper (Refereed)
  • 13.
    Campos, Jaime
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    Ontologies for Condition Monitoring and Maintenance2009In: International Journal of Comadem, ISSN 1363-7681, Vol. 12, no 4, p. 33-39Article in journal (Refereed)
  • 14.
    Campos, Jaime
    Linnaeus University, Faculty of Technology, Department of Informatics.
    The ICT Systems Developments in Maintenance: From Data Processing into Knowledge Driven Approaches2014In: Proceedings of the 15th European conference on Knowledge management, (ECKM 2014): vol. 1-3 / [ed] Vivas C & Sequeira P, Academic Conferences Limited, 2014, p. 182-188Conference paper (Refereed)
    Abstract [en]

    The paper goes through the developments of Information and Communication Technologies (ICTs) in the area of Condition Monitoring (CM) and Maintenance with the aim to understand the current state of the ICTs developments in the area of interest as well as their future prospects. The findings are ordered into a framework, which emphasizes the diverse maturity aspects when it comes to the use of these technologies. The results show that the researchers are working with various ICT applications that are in the different eras of the framework. There are findings that support the last era, i.e. the fourth era, but those findings are fewer. However, the applications that support this last era, even if they are at the primary stage, is the e-maintenance approach especially when the knowledge driven approaches are considered in their applications. The e-maintenance approach apart from its integration capabilities also considers other important aspects such as collaboration, cooperation, and organisational learning as well as companies' strategies such as the condition based maintenance, etc. it is, therefore, important to consider the e-maintenance approach as a facilitator for the entrance into the fourth era, which promises sustainability in the use of the ICTs for the domain of interests as well as higher organizational performance

  • 15. Campos, Jaime
    Tutorials for agent development, in the DYNAMITE Project  ”Dynamic Decisions in Maintenance", FP6 Integrated Project no. IP017498.2007Other (Other academic)
  • 16.
    Campos, Jaime
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    Tutorials for agent development, in the DYNAMITE Project  "Dynamic Decisions in Maintenance", FP6 Integrated Project no. IP017498.2007Other (Other academic)
  • 17.
    Campos, Jaime
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering. LNU.
    Tutorials for developing Web Services, in the DYNAMITE Project "Dynamic Decisions in Maintenance", FP6 Integrated Project no. IP017498.2007Other (Other academic)
  • 18.
    Campos, Jaime
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. LNU.
    Tutorials for mobile development, in the DYNAMITE Project  "Dynamic Decisions in Maintenance", FP6 Integrated Project no. IP017498.2007Other (Other academic)
  • 19.
    Campos, Jaime
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Web technologies in product life cycle management2010Conference paper (Other academic)
  • 20.
    Campos, Jaime
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics. LNU.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland.
    A conceptual database model for mobile e-maintenance2014In: Proceedings of the 3rd international workshop and congress on eMaintenance: June 17-18 Luleå, Sweden : eMaintenance, Trends in technologies & methodologies, challenges, possibilites and applications, 2014, p. 111-118Conference paper (Refereed)
    Abstract [en]

    A conceptual database model is the primary requirement for aphysical database design. The paper discusses a conceptual databasemodel, suitable for a manufacturing or process plant when amobile device is utilised. A knowledge sharing and an e-learningmodule are suggested to be used together with the e-maintenanceapplications because of the benefits they can provide for themaintenance engineers when performing their different workstasks. Firstly, the authors briefly review the state of the art in thearea. Then the e-maintenance approach and the information needsof the maintenance engineer are discussed as well as organisationallearning and knowledge sharing are taken into account. Further,when the mobile database model is developed, it is recommendedto apply the database standards of the MIMOSA (Machinery InformationManagement Open Systems Alliance) which is worthwhileconsidering for purposes of work order and measurementevent. To conclude, there is a static view of a conceptual modelillustrated, which highlights the entities and relationship for thesurveillance of the machines as well as the most important elearningparts, for this purpose, the web mobile technology issuggested for making use of geographically distributed databasesthrough the Internet. These tools facilitate mobile e-monitoringand maintenance.

  • 21.
    Campos, Jaime
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland.
    The Semantic Web and Web 2.0 social media technologies for e-maintenance applications2011In: 24th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2011): Advances in Industrial Asset Integrity Management / [ed] Maneesh Singh, Raj B. K. N. Rao, J. P. Liyanage, Curran Associates, Inc., 2011, p. 463-473Conference paper (Refereed)
  • 22.
    Campos, Jaime
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland, Finland.
    Baglee, David
    University of Sunderland, UK.
    Fumagalli, Luca
    Politecnico di Milano, Italy .
    Emmanouilidis, Christos
    Cranfield University, UK.
    Gilabert, Eduardo
    Fundación TEKNIKER, Spain.
    Mobile Information Systems in Maintenance Engineering and Asset Management2016In: Journal of Societal Studies, ISSN 2029-2244, Vol. 8, no 2, p. 180-197Article in journal (Refereed)
    Abstract [en]

    The objective of this paper is to provide a profound insight into important characteristics with regard to the integration of mobile technology into the area of industrial maintenance. The aspects highlighted in the paper uncover, for instance, acceptance models and best practices, as well as the financial impact of mobile technologies in the domain of interest. Moreover, the paper pinpoints some important characteristics that impede full integration of these technologies into this area. In addition, the economic benefits and the current situation with regard to mobile integration are highlighted. In addition, relevant literature and theories are analysed and discussed. Furthermore, the industrial integration of mobile technologies is outlined. The results indicate that there is a tendency to place an emphasis on the technical aspects of mobile devices rather than on understanding the organisational context, which affects the integration of mobile technologies into this domain.

    The work provides a thorough understanding of best practices and aspects to consider for the successful integration of mobile technologies in this area. This is because the use of mobile devices enables maintenance staff to gain access to information and services pertaining to the task in hand in real time, as long as some form of network access is provided. Users of these devices thus become mobile actors who dynamically interact with the physical environment in the workplace and support information systems, leading to a faster response to events and improved organizational performance.

  • 23.
    Campos, Jaime
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland, Finland.
    Baglee, David
    University of Sunderland, UK .
    Gilabert, Eduardo
    Fundación TEKNIKER, Spain.
    Fumagalli, Luca
    Politecnico di Milano, Italy.
    Emmanouilidis, Christos
    ATHENA Research & Innovation Centre, Greece .
    The Use of Mobile Technologies and Their Economic Benefits in Maintenance2016In: Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015) / [ed] Koskinen, K.T., Kortelainen, H., Aaltonen, J., Uusitalo, T., Komonen, K., Mathew, J., Laitinen, J. (Eds.), Springer, 2016, p. 113-119Conference paper (Refereed)
    Abstract [en]

    The use of mobile devices enables maintenance staff to gain access to information and services relevant to the task in hand in near real time and wherever some form of network access is provided. Essentially, mobile device users become mobile actors who dynamically interact with the physical environment, i.e. workplace, and supporting information systems, leading to faster response to events and an increased performance. This paper provides insight into the acceptance prospects and best practices of the mobile technologies in the area of maintenance. Furthermore, the potential financial impact is discussed as a key driver for the adoption of mobile technologies in the maintenance practice.

  • 24.
    Campos, Jaime
    et al.
    University of Kalmar, Department of Technology.
    Jantunen, Erkki
    Prakash, Om
    University of Kalmar, Department of Technology.
    A Mobile Maintenance Decision Support System2008In: Maintenance and Asset Management Journal, ISSN 1748-5290, Vol. 23, no 2, p. 42-48Article in journal (Refereed)
    Abstract [en]

    The development is reported of an e-maintenance system, ie a mobile maintenance decision supportsystem based on web and mobile technologies. The problem of the lack of experts to troubleshoot a fault ina machine is a long-standing one. It has led to the application of artificial intelligence and, later, distributedartificial intelligence for machine condition monitoring and diagnosis. Recently, web technology, alongwith wireless communication, is emerging as a potential tool in maintenance, facilitating acquisition ofthe desired information by the relevant personnel at any time, wherever they may be. It has been foundthat with the emergence of the new Information and Communications Technology (ICT) new conceptshave started to appear, such as e-manufacturing, e-business and e-maintenance. The paper begins byshowing the Web and Mobile architecture and then the ICT tools that are used for communication amongthe different layers of the system and the client machines. This is followed by a demonstration of the useof the system with a faulty bearing simulated signal. In addition, it is explained that a CMMS, ie a mobilework management system, has been tested, with successful results. Finally, it is shown how a mobileemulator was used to perfect the system for different requirements and how this was then tested on apersonal digital assistant (PDA).

  • 25.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    Jantunen, Erkki
    Prakash, Om
    Växjö University.
    A System for Mobile Maintenance Decision Support2008Conference paper (Refereed)
  • 26.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    Jantunen, Erkki
    Prakash, Om
    Växjö University.
    Development of a Maintenance System Based on Web and Mobile Technologies2007In: Journal of International Technology and Information Management, JITIM, ISSN 1543-5962, Vol. 16, no 4, p. 1-8Article in journal (Refereed)
  • 27.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. Mechanical engineering.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland.
    Prakash, Om
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. Mechanical engineering.
    MODERN MAINTENANCE SYSTEM BASED ON WEB AND MOBILE TECHNOLOGIES2007In: Modelling in Industrial Maintenance and Reliability, 2007, p. 91-95Conference paper (Refereed)
  • 28.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    Jantunen, Jantunen
    Prakash, Om
    Växjö University.
    A web and mobile device architecture for mobile e-maintenance2009In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 45, no 1-2, p. 71-80Article in journal (Refereed)
    Abstract [en]

    The paper presents the development of a mobile maintenance support system based on web and mobile device technologies, i.e., personal digital assistant. The architecture relies on a shop floor system and a supporting system in a diagnostic center. The shop floor system is supported by a mobile device, which helps the maintenance engineer to perform maintenance tasks. This gives great support to the maintenance engineer as it facilitates the access to decision-making support, work order, and spare part handling modules etc. that are available in the device. The diagnostic center provides the maintenance engineer with decision support for his various tasks, when needed. Moreover, a database table listener agent, located at the database server, was developed to keep track of the maintenance engineer’s work orders at a certain priority level. The proposed approach can reduce the maintenance costs and solve the problem of the unavailability of an expert. More efficient maintenance is believed to be achieved through the use of web and agent technologies since data, maintenance systems, and processing can be gathered and integrated and data can be acquired from additional sources when necessary. The proposed system, the web, and embedded technologies as well as remote communication were tested successfully.

  • 29.
    Campos, Jaime
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Kortelainen, Juha
    VTT Technical Research Centre of Finland.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland.
    Industrial open source solutions for product life cycle management2014In: Cogent Engineering, ISSN 2331-1916, Vol. 1, no 1, article id 939737Article in journal (Refereed)
    Abstract [en]

    The authors go through the open source for product life cycle management (PLM) and the efforts done from communities such as the open source initiative. The characteristics of the open source solutions are highlighted as well. Next, the authors go through the requirements for PLM. This is an area where more attention has been given as the manufacturers are competing with the quality and life cycle costs of their products. Especially, the need of companies to try to get a strong position in providing services for their products and thus to make themselves less vulnerable to changes in the market has led to high interest in product life cycle simulation. The potential of applying semantic data management to solve these problems discussed in the light of recent developments. In addition, a basic roadmap is presented as to how the above-described problems could be tackled with open software solutions.

  • 30.
    Campos, Jaime
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. LNU.
    Kortelainen, Juha
    VTT Technical Research Centre of Finland.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland.
    Product Lifecycle Simulation Applying Semantic Data Management2011In: Product Lifecycle Management: Virtual Product Lifecycles for Green Products and Services:Proceedings of the PLM11 conference held at the Eindhoven University of Technology, The Netherlands, 11-13 July 2011 / [ed] Pels, H.J., Bouras, A., & McMahon, C., 2011, p. 455-464Conference paper (Refereed)
    Abstract [en]

    Product lifecycle simulation (PLCS) has been given ever moreattention as the manufacturers are competing with the quality and lifecyclecosts of their products. Especially, the need of companies to try to get a strongposition in providing services for their products and thus to make themselvesless vulnerable to changes in the market has led to high interest in PLCS. Ashort summary of current status of PLCS is presented especially related to thepoor integration of data in product lifecycle management systems and in PLCS.The potential of applying semantic data management to solve these problems isthoroughly discussed in the light of recent development. A basic roadmap howthe above-described problems could be tackled with open software solutions ispresented. Finally, this paper reviews the emergent Web technologies such asthe Semantic Web framework and the Web services.

  • 31.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Mathematics and Systems Engineering.
    Prakash, Om
    Växjö University.
    Agent architecture for efficient decision making in a plant practising vibration monitoring2005Conference paper (Refereed)
  • 32.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. Mechanical Engineering.
    Prakash, Om
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. Mechanical Engineering.
    AGENT ARCHITECTURE IN CONDITION BASED MAINTENANCE FOR DECISION MAKING2006In: Condition Monitoring and Diagnostic Engineering Management, 2006, p. 291-296Conference paper (Refereed)
  • 33.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    Prakash, Om
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    CURRENT AND PROSPECTIVE PRACTICES OF ICT IN CONDITION MONITORING AND MAINTENANCE2006In: Maintenance management international conference on maintenance and facility management, 2006, p. 95-100Conference paper (Refereed)
  • 34.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    Prakash, Om
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    ICT AS A DECISION SUPPORT TOOL IN CONDITION BASED MAINTENANCE2007In: Machinery & Process Health Monitoring: Future trends and Prospects, IT-Instituto de telecommunicaciones, Coimbra, Portugal , 2007, p. 361-365Conference paper (Refereed)
  • 35. Campos, Jaime
    et al.
    Prakash, Om
    ICT in condition monitoring and maintenance for conflict resolution2006In: Proceedings of international conference on conditon monitoring, 2006, p. 257-262Conference paper (Refereed)
  • 36.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    Prakash, Om
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    INFORMATION AND COMMUNICAITON TECHNOLOGIES IN CONDITION MONITORING AND MAINTENANCE2007Conference paper (Refereed)
  • 37.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    Prakash, Om
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    INFORMATION AND COMMUNICATION TECHNOLOGIES IN CONDITION MONITORING AND MAINTENANCE2006Conference paper (Refereed)
  • 38.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    Prakash, Om
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design.
    Information and communication technologies in condition monitoring and maintenance2006In: IFAC Proceedings Volumes: 12th IFAC Symposium on Information Control Problems in Manufacturing, Elsevier, 2006, Vol. Vol 39, Iss 3, p. 3-8Conference paper (Refereed)
    Abstract [en]

    The paper presents a review of literature on application of information and communication technologies, specifically, Web and Agent Technologies in condition monitoring and maintenance of mechanical and electrical systems. In manufacturing and process plants, rarity of experts does not allow condition monitoring to realise its full potential. This led to the application of artificial intelligence and distributed artificial intelligence to condition monitoring. More recently web technology and intelligent agents have emerged as better decision support tools. Reviewed papers show that these technologies have been used in manufacturing and other sectors for integration, remote monitoring and maintenance, diagnosis and prognosis purposes.

  • 39.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. Mechanical Engineering.
    Prakash, Om
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. Mechanical Engineering.
    Jantunen, Erkki
    VTT, Technical Research Centre of Finland.
    A CONCEPTUAL DATABASE MODEL FOR E-MONITORING AND E-MAINTENANCE2007In: Maintenance Management 2007: Third International Conference on Maintenance and Facility Management, 2007, p. 41-45Conference paper (Refereed)
  • 40.
    Campos, Jaime
    et al.
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. Mechanical Engineering.
    Prakash, Om
    Växjö University, Faculty of Mathematics/Science/Technology, School of Technology and Design. Mechanical Engineering.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland.
    AGENT AND WEB TECHNOLOGIES IN CONDITION MONITORING AND MAINTENANCE2007In: Machinery & Process Health Monitoring: Future trends and prospects, IT-Instituto de telecommunicaciones, Coimbra, Portugal , 2007, p. 455-462Conference paper (Refereed)
  • 41.
    Campos, Jaime
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Sharma, Pankaj
    IIT Delhi, India.
    Gabiria, Unai Gorostegui
    Mondragon Univ, Spain.
    Jantunen, Erkki
    VTT Tech Res Ctr Finland, Finland.
    Baglee, David
    Univ Sunderland, UK.
    A big data analytical architecture for the Asset Management2017In: Industrial Product/Service-Systems (IPSS) Conference: Circular Perspectives on Product/Service-Systems / [ed] McAloone, TC Pigosso, DCA Mortensen, NH Shimomura, Y, Elsevier, 2017, p. 369-374Conference paper (Refereed)
    Abstract [en]

    The paper highlights the characteristics of data and big data analytics in manufacturing, more specifically for the industrial asset management. The authors highlight important aspects of the analytical system architecture for purposes of asset management. The authors cover the data and big data technology aspects of the domain of interest. This is followed by application of the big data analytics and technologies, such as machine learning and data mining for asset management. The paper also presents the aspects of visualisation of the results of data analytics. In conclusion, the architecture provides a holistic view of the aspects and requirements of a big data technology application system for purposes of asset management. The issues addressed in the paper, namely equipment health, reliability, effects of unplanned breakdown, etc., are extremely important for today's manufacturing companies. Moreover, the customer's opinion and preferences of the product/services are crucial as it gives an insight into the ways to improve in order to stay competitive in the market. Finally, a successful asset management function plays an important role in the manufacturing industry, which is dependent on the support of proper ICTs for its further success. (C) 2017 The Authors Published by Elsevier B.V.

  • 42.
    Campos, Jaime
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Sharma, Pankaj
    Indian Institute of Technology (IIT) Delhi, India.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland Ltd, Finland.
    Baglee, David
    University of Sunderland, UK.
    Fumagalli, Luca
    Politecnico di Milano, Italy.
    Business performance measurements in asset management with the support of big data technologies2016In: Proceedings of MPMM 2016: 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden / [ed] Diego Galar, Dammika Seneviratne, Luleå University of Technology, 2016, p. 89-95Conference paper (Refereed)
    Abstract [en]

    The paper reviews the performancemeasurement in the domain of interest. Important data in assetmanagement are further, discussed. The importance and thecharacteristics of today’s ICTs capabilities are also mentionedin the paper. The role of new concepts such as big data anddata mining analytical technologies in managing theperformance measurements in asset management are discussedin detail. The authors consequently suggest the use of themodified Balanced Scorecard methodology highlighting bothquantitative and qualitative aspects, which is crucial foroptimal use of the big data approach and technologies.

  • 43.
    Campos, Jaime
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Sharma, Pankaj
    Indian Institute of Technology Delhi, India.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland, Finland.
    Baglee, David
    University of Sunderland, UK.
    Fumagalli, Luca
    Politecnico di Milano, Italy.
    Business Performance Measurements in Asset Management with the Support of Big Data Technologies2017In: Management Systems in Production Engineering, E-ISSN 2450-5781, Vol. 25, no 3, p. 143-149Article in journal (Refereed)
    Abstract [en]

    The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today’s ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.

  • 44.
    Campos, Jaime
    et al.
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Sharma, Pankaj
    Indian Institute of Technology Delhi, India.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland, Finland.
    Baglee, David
    University of Sunderland, UK.
    Fumagalli, Luca
    Politecnico di Milano, Italy.
    The challenges of cybersecurity frameworks to protect data required for the development of advanced maintenance2016In: Product-Service Systems Across Life Cycle / [ed] Cavalieri, S; Ceretti, E; Tolio, T; Pezzotta, G, Elsevier, 2016, Vol. 47, p. 222-227Conference paper (Refereed)
    Abstract [en]

    The main objective of the paper is to highlight the important aspects of the data management in condition monitoring and maintenance, especially when the emergent technologies, such as the cloud computing and big data, are to be considered in the maintenance department. In addition, one of the main data management elements highlighted in the current work are the cybersecurity issues which might be one of the biggest obstacles hindering the development of cloud based big data for condition-based maintenance (CBM) purposes. Further, the benefits and current risks of storing a company's data in the cloud are highlighted. The authors discuss as well different data needs in various processes in the area of asset management. In addition, the challenges and issues to be addressed for the optimal use of the company data at the cloud together with the big data approach are addressed. This is seen as an important part in an effort to achieve sustainable information and communication technologies for the industry.

  • 45.
    Jantunen, Erkki
    et al.
    Technical Research Centre of Finland Ltd., Finland.
    Campos, Jaime
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Sharma, Pankaj
    Indian Institute of Technology, India.
    Baglee, David
    University of Sunderland, UK.
    Digitalisation of Maintenance2017In: 2nd International Conference on System Reliability and Safety, ICSRS 2017, 20 - 22 December 2017, Milan, Italy, IEEE, 2017, p. 343-347Conference paper (Refereed)
    Abstract [en]

    The digitalisation of industry and the Industry 4.0 concept with its connected ICTs are important developments for the industry to acquire and implement to be able to keep ahead in competition. In connection to Industry 4.0, the predictive maintenance systems and approach are getting more popular in maintenance. This is because these systems enable a change in the maintenance mind-set where the break-fix mentality is substituted by a predictive maintenance system, such as Condition Based Maintenance (CBM), where the equipment is monitored with the support of ICTs to detect failures before they occur. The Industry 4.0 seems more attainable even for small and medium sized companies because of the drop in the prices of the components of these systems, both in the sensing elements and in the data processing part. The manufacturing methods used in the Integrated Circuit (IC) industry create the possibility to reduce significantly the price tag of sensors and processors. Therefore, the authors go through the CBM approach and technologies, such as Microelectromechanical System (MEMS) sensors as well as such emerging ICTs as the Cloud and Big data. These could offer a turning point in traditional maintenance by widening the amount of monitored assets, allowing multiple parameters to be measured and analysed and enabling wireless and immediate data access across the globe.

  • 46.
    Mashtalir, V.P
    et al.
    Kharkov National Univeristy of Radio Electronics, Ukraine.
    Sakalo, Yevgen
    Kharkov National Univeristy of Radio Electronics, Ukraine.
    Campos, Jaime
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. LNU.
    Master of Science Program in Informatics Coordination within Educational Ukraine-Sweden collaboration2011In: International Scientific Herald, Edition 3 (22)., 2011Conference paper (Refereed)
  • 47.
    Sharma, Pankaj
    et al.
    Indian Institute of Technology Dehli, India.
    Baglee, David
    University of Sunderland, UK.
    Campos, Jaime
    Linnaeus University, Faculty of Technology, Department of Informatics.
    Jantunen, Erkki
    VTT Technical Research Centre of Finland, Finland.
    Big data collection and analysis for manufacturing organisations2017In: Big Data and Information Analytics, ISSN 2380-6966, Vol. 2, no 2, p. 127-139Article in journal (Refereed)
    Abstract [en]

    Data mining applications are becoming increasingly important for the wide range of manufacturing and maintenance processes. During daily operations, large amounts of data are generated. This large volume and variety of data, arriving at a greater velocity has its own advantages and disadvantages. On the negative side, the abundance of data often impedes the ability to extract useful knowledge. In addition, the large amounts of data stored in often unconnected databases make it impractical to manually analyse for valuable decision-making information. However, an advent of new generation big data analytical tools has started to provide large scale benefits for the organizations. The paper examines the possible data inputs from machines, people and organizations that can be analysed for maintenance. Further, the role of big data within maintenance is explained and how, if not managed correctly, big data can create problems rather than provide solutions. The paper highlights the need to have advanced mining techniques to enable conversion of data into information in an acceptable time frame and to have modern analytical tools to extract value from the big datasets.

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