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The need of condition monitoring to support simulations when predicting system availability of Functional Products
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
2014 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Today, competition among product manufacturers has increased and many facebeing copied and thus losing their uniqueness. To differentiate on the market,new businesses, which extend the manufacturer’s responsibility throughsupporting and guaranteeing product performance, thus offering more value-creating activities, have received increasing interest.The concepts of Functional Products or Total Offers have emerged through the realization that it is tougher to compete with hardware products only. The Functional Products concept combines the development of hardware, software, services and management of operation, thereby integrating value-adding activities into complete offers. Offering a Functional Product is usually a lifecycle commitment (long-term business-to-business agreement) between the function provider and customer. In this type of business, agreed-upon availability is of importance, especially since the availability of a function can directly influence customers’ productivity. The provider and customer need to predict and evaluate the availability of the function, both in early phases of the product development process and continuously during operation throughout the contracted time. In this thesis, in paper A, a model for predicting and monitoring industrial system availability has been proposed to enable the provider of Functional Products to continuously evaluate, through simulation, the offer in terms of availability performance. The model integrates hardware, support system and monitoring system components and through this approach it is possible to utilize operational data in simulations for continuous prediction of availability during operation. Further, the results of paper B presented in this thesis may extend and improve the model proposed in paper A, if implemented. The results of paper B describe the addition of data stream forecasting to the data stream management fault detection system and have showed improved prediction capabilities. The approach to evaluate the availability in paper A may also be extended and improved through the results presented and demonstrated in paper C. In paper C, a software tool to predict system availability has been developed and demonstrated with data from a real industrial system. The results from the simulation demonstrated, together with the addition of the partitioned multi-objective risk method in paper C, provided an indication of what level of availability may be guaranteed for the product; thus, the approach may be used to compare the availability performance of different designs.

Place, publisher, year, edition, pages
Luleå tekniska universitet, 2014. , 90 p.
Series
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757
Research subject
Computer Aided Design
Identifiers
URN: urn:nbn:se:ltu:diva-17983Local ID: 636dbe21-1768-4f83-82d3-ed401488d7edISBN: 978-91-7583-143-5ISBN: 978-91-7583-144-2 (PDF)OAI: oai:DiVA.org:ltu-17983DiVA: diva2:990989
Projects
Fastelaboratoriet - VINNEXC
Note
Godkänd; 2014; 20141113 (bjobac); Nedanstående person kommer att hålla licentiatseminarium för avläggande av teknologie licentiatexamen. Namn: Björn Backe Ämne: Datorstödd maskinkonstruktion/Computer Aided Design Uppsats: The Need of Condition Monitoring to Support Simulations when Predicting System Availability of Functional Products Examinator: Professor Mats Näsström, Institutionen för teknikvetenskap och matematik Avdelning Produkt- och produktionsutveckling Luleå tekniska universitet Diskutant: Adjungerad Professor Per-Olof Larsson-Kråik Institutionen för samhällsbyggnad och naturresurser Avdelning: Drift, underhåll och akustik Luleå tekniska universitet Tid: Måndag den 15 december 2014 kl 09.00 Plats: E632, Luleå tekniska universitetAvailable from: 2016-09-29 Created: 2016-09-29Bibliographically approved

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