Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Improving availability of industrial products through data stream mining
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
2011 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Products of high quality are of great interest for industrial companies. The quality of a product can be considered in terms of production cost, operating cost, safety and product availability, for example. Product availability is a function of maintainability and reliability. Monitoring prevents unplanned stops, thus increasing product availability by decreasing needed maintenance. Through monitoring, failures can be detected and/or avoided. Detecting failures eliminates extra costs such as costs associated with machinery damage and dissatisfied customers, and time is saved since stops can be scheduled, instead of having unplanned stops. Product monitoring can be done through searching the data generated from sensors installed on products.Nowadays, the data can be collected at high rates as part of a data stream. Therefore, data stream management systems (DSMS) and data stream mining (DSM) are being used to control, manage and search the data stream. This work investigated how the availability of industrial products can be increased through the use of DSM and DSMS technologies.A review of the data stream mining algorithms and their applications in monitoring was conducted. Based on the review, a new data stream classification method, i.e. Grid-based classifier was proposed, tested and validated. Also, a fault detection system based on DSM and DSMS technologies was proposed. The proposed fault detection system was tested using data collected from Hägglunds Drives AB (HDAB) hydraulic motors. Thereafter, a data stream predictor was integrated into the proposed fault detection system to detect failures earlier, thus gaining more time for response actions. The modified fault detection system was tested and showed good performance. The results showed that the proposed fault detection system, which is based on DSM and DSMS technologies, achieved good performance (with classification accuracy around 95%) in detecting failures on time. Detecting failures on time prevents unplanned stops and may improve the maintainability of the industrial systems and, thus, their availability.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2011. , 92 p.
Series
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757
National Category
Other Mechanical Engineering
Research subject
Computer Aided Design
Identifiers
URN: urn:nbn:se:ltu:diva-25914Local ID: baf68965-89d6-4482-a3e5-67e6a65aaf0aISBN: 978-91-7439-332-3 (print)OAI: oai:DiVA.org:ltu-25914DiVA: diva2:999072
Note
Godkänd; 2011; 20111025 (ahmalz); LICENTIATSEMINARIUM Ämnesområde: Datorstödd maskinkonstruktion/Computer Aided Design Examinator: Professor Lennart Karlsson, Institutionen för teknikvetenskap och matematik, Luleå tekniska universitet Diskutant: Doctor Erik Zeitler, Department of Information Technology, Uppsala University Tid: Måndag den 19 december 2011 kl 09.00 Plats: E231, Luleå tekniska universitetAvailable from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-24Bibliographically approved

Open Access in DiVA

fulltext(1900 kB)42 downloads
File information
File name FULLTEXT01.pdfFile size 1900 kBChecksum SHA-512
1c8f432d5252b233f47a2f1329869e282c700f5905a38b2bdc878b2c84cabb5d520fa01616541aead4fb3d8c87ab4bf9bb7f5bd87b09f1835b6388e88f0ef7d5
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Alzghoul, Ahmad
By organisation
Product and Production Development
Other Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 42 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 231 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf