Dynamic modelling and robust fault detection of a gas turbine engine

Xuewu Dai, Tim Breikin, Zhiwei Gao, Hong Wang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Dynamic modelling and fault detection play an important role in the condition monitoring of gas turbine engines (GTEs). Although system identification and Robust Fault Detection Observer (RFDO) have been studied intensively, on-board fault detection raises challenges. A fast identification and discrete observer design is required because of the limited computation ability. In this paper, an output error model is identified first and a discrete observer is designed to avoid the discrete-continuous conversion. With the aid of disturbance frequency estimation, an improved performance index and a fast left-eigenvector based robust observer design method are proposed. As illustrated in the application results, a better disturbance attenuation and fault detection performance have been achieved. ©2008 AACC.
    Original languageEnglish
    Title of host publicationProceedings of the American Control Conference|Proc Am Control Conf
    Pages2160-2165
    Number of pages5
    DOIs
    Publication statusPublished - 2008
    Event2008 American Control Conference, ACC - Seattle, WA
    Duration: 1 Jul 2008 → …

    Conference

    Conference2008 American Control Conference, ACC
    CitySeattle, WA
    Period1/07/08 → …

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