Dynamic modelling and robust fault detection of a gas turbine engine

Xuewu Dai*, Tim Breikin, Zhiwei Gao, Hong Wang

*Corresponding author for this work

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

14 Citations (Scopus)


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.

Original languageEnglish
Title of host publication2008 American Control Conference, ACC
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)9781424420797
Publication statusPublished - 11 Jun 2008
Externally publishedYes
Event2008 American Control Conference, ACC - Seattle, WA, United States
Duration: 11 Jun 200813 Jun 2008

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Conference2008 American Control Conference, ACC
Country/TerritoryUnited States
CitySeattle, WA


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