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

C.D. Booth, J.R. McDonald, P.H. Donald, N. Lines, N. Cooke, C. Smith

Research output: Contribution to journalArticle

1 Citation (Scopus)

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
LanguageEnglish
Pages62-63
Number of pages1
JournalIEEE Power Engineering Review
Volume21
Issue number4
DOIs
Publication statusPublished - 2001

Fingerprint

Condition monitoring
Power generation
Gas turbines
Demonstrations

Keywords

  • gas turbines
  • power generation
  • electric systems

Cite this

Booth, C.D. ; McDonald, J.R. ; Donald, P.H. ; Lines, N. ; Cooke, N. ; Smith, C. / Model-based condition monitoring of gas turbines for power generation duty. In: IEEE Power Engineering Review. 2001 ; Vol. 21, No. 4. pp. 62-63.
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Model-based condition monitoring of gas turbines for power generation duty. / Booth, C.D.; McDonald, J.R.; Donald, P.H.; Lines, N.; Cooke, N.; Smith, C.

In: IEEE Power Engineering Review, Vol. 21, No. 4, 2001, p. 62-63.

Research output: Contribution to journalArticle

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KW - electric systems

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