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Sensor Selection for Fault Detection and Isolation in Structurally Reconfigurable Systems
(Center for Automotive Research, College of Engineering, The Ohio State University, OH, USA)
(Center for Automotive Research, College of Engineering, The Ohio State University, OH, USA)ORCID iD: 0000-0003-0808-052X
(Center for Automotive Research, College of Engineering, The Ohio State University, OH, USA)
2018 (English)In: 2018 Annual American Control Conference (ACC), 2018, p. 5807-5812Conference paper, Published paper (Refereed)
Abstract [en]

Fault diagnosis of structurally re-configurable systems is complicated as the system structure changes when the system operates in different modes. It is important that faults can be detected and isolated in each operating mode. In model-based diagnosis, faults are detected and isolated by detecting inconsistencies between model predictions and sensor data. Thus, determining where to mount sensors is an important task to be able to detect and isolate faults, especially when faults can result in unexpected system re-configuration. For structurally re-configurable systems this means selecting a set of sensors that fulfills requirements in multiple models describing the different system modes. A sensor selection algorithm is proposed for structurally re-configurable systems which computes minimal sensor sets that make faults in all modes detectable and isolable. As a case study, the sensor selection algorithm is applied to determine sensor locations in an eight-speed automatic transmission.

Place, publisher, year, edition, pages
2018. p. 5807-5812
Keywords [en]
fault diagnosis;sensors;sensor selection algorithm;fault detection;fault diagnosis;structurally reconfigurable systems;fault isolation;eight-speed automatic transmission;Mathematical model;Fault diagnosis;Fault detection;Data models;Computational modeling;Generators;Gears
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-151302DOI: 10.23919/ACC.2018.8430950OAI: oai:DiVA.org:liu-151302DiVA, id: diva2:1248575
Conference
American Control Conference
Available from: 2018-09-17 Created: 2018-09-17 Last updated: 2018-09-17

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Jung, Daniel

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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