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Robust Frequency Domain Fault Detection/Diagnosis
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1990 (English)In: Proceedings of the 11th IFAC World Congress, 1990, 74-79 p.Conference paper, Published paper (Refereed)
Abstract [en]

Undermodelling can lead to poor behavior of fault detection (diagnosis) algorithms based on estimated parametric models. The aim of this paper is to study how to reduce this problem by working in the frequency domain and using flexible models. Simple and practically appealing frequency domain fault detection/diagnosis schemes are derived using recent results of Ljung (1987) on a high-order black-box identification theory.

Place, publisher, year, edition, pages
1990. 74-79 p.
Keyword [en]
Computer programming algorithms, Mathematical techniques, Frequency domain analysis, Black-box identification theory, Fault analysis, Fault detection, Control systems
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-91635OAI: oai:DiVA.org:liu-91635DiVA: diva2:626137
Conference
11th IFAC World Congress, Tallin, Estonia, August, 1990
Available from: 2013-06-07 Created: 2013-04-28 Last updated: 2013-06-07

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
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Output format
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