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Dynamic threshold generators for robust fault detection in linear systems with parameter uncertainty
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-8893-4809
2006 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 42, no 7, p. 1095-1106Article in journal (Refereed) Published
Abstract [en]

The problem of developing robust thresholds for fault detection is addressed. An inequality for the solution of a linear system with uncertain parameters is provided and is shown to be a valuable tool for developing dynamic threshold generators for fault detection. Such threshold generators are desirable for achieving robustness against model uncertainty in combination with sensitivity to small faults. The usefulness of the inequality is illustrated by developing an algorithm for detection of sensor faults in a turbofan engine. The proposed algorithm consists of a state observer with integral action. A dynamic threshold generator is derived under the assumption of parametric uncertainty in the process model. Successful simulations with measurement data show that the algorithm is capable of detecting faults without generating false alarms.

Place, publisher, year, edition, pages
2006. Vol. 42, no 7, p. 1095-1106
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-13499DOI: 10.1016/j.automatica.2006.02.009ISI: 000238829700003Scopus ID: 2-s2.0-33646783329Local ID: cb7baa80-ad2b-11db-905c-000ea68e967bOAI: oai:DiVA.org:ltu-13499DiVA, id: diva2:986452
Note
Validerad; 2006; 20060924 (ysko)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Johansson, AndreasBask, Michael

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