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Development of an intelligent system for detection of exhaust gas temperature anomalies in gas turbines

Kenyon, A.D. and Catterson, V.M. and McArthur, S.D.J. (2010) Development of an intelligent system for detection of exhaust gas temperature anomalies in gas turbines. Insight: The Journal of the British Institute of Non-Destructive Testing, 52 (8). ISSN 1354-2575

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    Abstract

    An unplanned outage can be costly for a utility, and gas turbines are expensive pieces of equipment to repair or replace. It is therefore vital that anomalous behaviour is flagged before damage can occur that may cause a prolonged outage. An anomaly detection system is proposed for gas turbines to monitor the related parameters and raise alarms when anomalies are identified. The proposed system incorporates machine learning algorithms based on artificial neural networks (ANN). By using ANNs trained on normal plant behaviour, it is possible to identify anomalous behaviour by the high residuals between actual and predicted outputs. Within this paper, the data mining methodology is described and the process followed before arriving at the successful approach is documented. Results from testing the approach on an industrial case study are presented and, based on these results, areas for further development are identified. It is intended to deploy the system along with several other algorithms as part of a multi-agent system for plant-wide condition monitoring. This paper will focus on the design and testing of the developed anomaly detection system.

    Item type: Article
    ID code: 26474
    Notes: Paper presented at CM 2010-MFPT 2010, the Seventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Stratford-upon-Avon, June 2010
    Keywords: intelligent systems, detection, exhaust gas temperature, gas turbines, Electrical engineering. Electronics Nuclear engineering
    Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
    Department: Faculty of Engineering > Electronic and Electrical Engineering
    Related URLs:
    Depositing user: Dr Victoria M. Catterson
    Date Deposited: 05 Aug 2010 12:16
    Last modified: 17 Jul 2013 10:04
    URI: http://strathprints.strath.ac.uk/id/eprint/26474

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