A PCA-based fault monitoring of splitter nozzles in gas turbine combustion chamber using exhaust gas temperature

Conference proceedings article

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Publication Details

Author list: Chinakay P., Wongsa S.

Publisher: Hindawi

Publication year: 2017

Start page: 120

End page: 125

Number of pages: 6

ISBN: 9781509013357

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013124632&doi=10.1109%2fICA.2016.7811487&partnerID=40&md5=b061e0132cb121eed0001aa3ec7be3af

Languages: English-Great Britain (EN-GB)

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Abstract

In this article, a principal component analysis (PCA) based process monitoring approach is proposed for detecting and isolating damaged splitter nozzles in gas turbine combustion chamber. Damage in splitter nozzles can lead to unstable combustion process and had to start-up and result in unplanned shutdown. The present method detects any abnormal temperature behavior by monitoring the combined index obtained from the PCA model. The abnormal temperature sensors are further analysed by using the partial composition (PD) contribution. To avoid smearing effects, the PD contributions are normalized such that they are even across variables when there is no fault. The possible damaged splitter nozzles are identified using the mapping table. Results of both simulated and real datasets reveal the effectiveness of the proposed method. ฉ 2016 IEEE.

Keywords

contribution plot, exhaust gas temperature, fault detection and isolation, Splitter nozzles