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Statistical Signal Processing Approaches to Fault Detection
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2006 (English)In: Proceedings of the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, 2006, 24-35 p.Conference paper (Refereed)
Abstract [en]

The parity space approach to fault detection and isolation (FDI) has beendeveloped during the last twenty years, and the focus here is to describe its applicationto stochastic systems. A mixed model with both stochastic inputs and deterministicdisturbances and faults is formulated over a sliding window. Algorithms for detecting andisolating faults on-line and analyzing the probability for correct and incorrect decisionsoff-line are provided. A major part of the paper is devoted to discussing properties ofthis model-based approach and generalizations to cases of incomplete model knowledge,and non-linear non-Gaussian models. For this purpose, a simulation example is usedthroughout the paper for numerical illustrations, and real-life applications for motivations.The final section discusses the reverse problem: fault detection approaches to statisticalsignal processing. It is motivated by three applications that a simple CUSUM detectorin feedback loop with an adaptive filter can mitigate the inherent trade-off betweenestimation accuracy and tracking speed in linear filters.

Place, publisher, year, edition, pages
2006. 24-35 p.
Keyword [en]
Fault detection, Diagnosis, Kalman filtering, Adaptive filters, Linear systems, Principal component analysis, Subspace identification
National Category
Engineering and Technology Control Engineering
URN: urn:nbn:se:liu:diva-89260DOI: 10.3182/20060829-4-CN-2909.00004ISBN: 978-3-902661-14-2OAI: diva2:607569
6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Beijing, China, August-September, 2006
Available from: 2013-02-25 Created: 2013-02-25 Last updated: 2013-02-25

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Gustafsson, Fredrik
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Automatic ControlThe Institute of Technology
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ReferencesLink to record
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