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Heat Recovery Unit Failure Detection in Air Handling Unit
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8078-5172
2018 (English)In: IFIP International Conference on Advances in Production Management Systems: APMS 2018: Advances in Production Management Systems. Smart Manufacturing for Industry 4.0, Springer, 2018, p. 343-350Conference paper, Published paper (Refereed)
Abstract [en]

Maintenance is a complicated task that encompasses various activities including fault detection, fault diagnosis, and fault reparation. With advancement of Computer Aided Engineering (CAE), maintenance task becomes even more challenging as modern assets became complex mixes of systems and sub systems with complex interaction. Among maintenance activities, fault diagnosis is particularly cumbersome as the reason of failures on the system are often neither obvious in terms of their source nor unique. Early detection and diagnosis of such fault is turning to one of the key requirements for economical and functional eciency of assets. Several methods have been studied to detect machine faults for a number of years and were relevant for many application domains. In this paper, we present process-history based method utilising nominal eciency of Air Handling Unit (AHU) to detect heat recovery failure using Principle Component Analysis (PCA) in combination of logistic regression method.

Place, publisher, year, edition, pages
Springer, 2018. p. 343-350
Series
IFIP Advances in Information and Communication Technology ; 536
Keywords [en]
Fault detection, Fault diagnosis, FDD, logistic regression, PCA, Air Handling Unit, heat recovery unit
National Category
Information Systems
Research subject
computer and systems sciences; business data processing
Identifiers
URN: urn:nbn:se:umu:diva-154886DOI: 10.1007/978-3-319-99707-0_43ISBN: 978-3-319-99706-3 (print)ISBN: 978-3-319-99707-0 (electronic)OAI: oai:DiVA.org:umu-154886DiVA, id: diva2:1274994
Conference
2018 Advanced Production Managements Systems (APMS) International Conference
Funder
EU, Horizon 2020Available from: 2019-01-04 Created: 2019-01-04 Last updated: 2019-04-05Bibliographically approved

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Främling, Kary

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CiteExportLink to record
Permanent link

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