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Robust frequency domain fault detection/diagnosis
Department of Electrical Engineering, Linköping University.ORCID iD: 0000-0002-1927-1690
1991 (English)In: Proceedings of the 11th Triennial World Congress of the International Federation of Automatic Control / [ed] Jaaksoo U., Utkin V.I., 1991, Vol. 4, no Elmsford, NY, United States, 373-378 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
1991. Vol. 4, no Elmsford, NY, United States, 373-378 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:kth:diva-55440OAI: oai:DiVA.org:kth-55440DiVA: diva2:471583
Conference
the 11th Triennial World Congress of the International Federation of Automatic Control. Tallinn, USSR. 13 August 1990 - 17 August 1990
Note
QC 20120104. Sponsors: IFAC; Int Assoc for Mathematics & Computer Simulation; IFIP; Int Federation of Operational Research Soc; Int Measurement ConfederationAvailable from: 2012-01-02 Created: 2012-01-02 Last updated: 2013-09-05Bibliographically approved

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Wahlberg, Bo

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