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Model-based condition monitoring of gas turbines for power generation duty

Booth, C.D. and McDonald, J.R. and Donald, P.H. and Lines, N. and Cooke, N. and Smith, C. (2001) Model-based condition monitoring of gas turbines for power generation duty. IEEE Power Engineering Review, 21 (4). pp. 62-63. ISSN 0272-1724

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Abstract

This letter has presented an overview of activities to date with respect to the development and demonstration of anomaly detection functions, which analyze key parameters from an industrial gas turbine during its starting sequence. The software modules have been shown to be able to successfully detect anomalies in the start sequences. The software has been developed using a combination of simulated and actual plant performance data and is currently in the process of being implemented in the field. In the longer term, as the level of operational experience and knowledge grows, the anomaly detection functions can be augmented to include prognostic and diagnostic functionality. This will permit not only the detection of anomalous behavior but also the provision of information to plant operators as to the suspected cause of the anomaly

Item type: Article
ID code: 3508
Keywords: gas turbines, power generation, electric systems, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Professional Services > Corporate Services Directorate
Unknown Department
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 18 Jun 2007
    Last modified: 04 Sep 2014 10:15
    URI: http://strathprints.strath.ac.uk/id/eprint/3508

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