Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise

Vasso Reppa, Antonios Tzes

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The objective of this paper is the Fault Detection and Diagnosis (FDD) of multiple abrupt parameter variations in an inherently time-invariant system based on Parameter Set Estimation. Under the a priori knowledge of the bounds of the noise that corrupts the measurements, it is proven that the parameter uncertainty is also bounded. The goal of the PSE is to compute at every time instant the orthotope that represents the bounded parameter uncertainty and within which the nominal parameter vector resides. A fault detection criterion is activated at the time instant that the computed orthotope is an empty set, while a 'backward-in-time' procedure is proposed for a more accurate estimation of the time of fault occurrence. Finally, the fault diagnosis continues with the isolation of the faulty components and the determination of the size of parameter deviation. Simulations studies are used to verify the efficiency of the suggested strategy for the case of multiple faults in a micro-electrostatic actuator.

    Original languageEnglish (US)
    Title of host publication18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings
    Pages460-465
    Number of pages6
    DOIs
    StatePublished - Sep 29 2010
    Event18th Mediterranean Conference on Control and Automation, MED'10 - Marrakech, Morocco
    Duration: Jun 23 2010Jun 25 2010

    Other

    Other18th Mediterranean Conference on Control and Automation, MED'10
    CountryMorocco
    CityMarrakech
    Period6/23/106/25/10

    Fingerprint

    Fault detection
    Failure analysis
    Electrostatic actuators
    Uncertainty

    ASJC Scopus subject areas

    • Control and Systems Engineering

    Cite this

    Reppa, V., & Tzes, A. (2010). Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise. In 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings (pp. 460-465). [5547711] https://doi.org/10.1109/MED.2010.5547711

    Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise. / Reppa, Vasso; Tzes, Antonios.

    18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings. 2010. p. 460-465 5547711.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Reppa, V & Tzes, A 2010, Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise. in 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings., 5547711, pp. 460-465, 18th Mediterranean Conference on Control and Automation, MED'10, Marrakech, Morocco, 6/23/10. https://doi.org/10.1109/MED.2010.5547711
    Reppa V, Tzes A. Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise. In 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings. 2010. p. 460-465. 5547711 https://doi.org/10.1109/MED.2010.5547711
    Reppa, Vasso ; Tzes, Antonios. / Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise. 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings. 2010. pp. 460-465
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