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Assessing Diagnostic Techniques for Poblem Identification in Advanced Industrial Gas Turbines PUBLIC ACCESS

[+] Author Affiliations
Alexander Lifson, Anthony J. Smalley

Southwest Research Institute, San Antonio, TX

George H. Quentin

Electric Power Research Institute, Palo Alto, CA

Joseph P. Zanyk

Dow Chemical Canada, Inc., Sarnia, ON, Canada

Paper No. 90-GT-365, pp. V004T10A008; 6 pages
doi:10.1115/90-GT-365
From:
  • ASME 1990 International Gas Turbine and Aeroengine Congress and Exposition
  • Volume 4: Heat Transfer; Electric Power; Industrial and Cogeneration
  • Brussels, Belgium, June 11–14, 1990
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-7907-8
  • Copyright © 1990 by ASME

abstract

This paper describes existing, developing, and needed methods for detection, identification, and diagnosis of problems in combustion turbines. The use of combustion turbines for electrical power generation is growing, and advanced models of large industrial turbines are now starting to enter service. In view of the harsh operating conditions and severe service to which these new turbines will be exposed, this paper evaluates sensors and signal analysis methods to detect and diagnose the problems which may surface in operation. Generic problems which have been observed in combustion turbine installations in the recent past are identified, and methods for detecting these problems, quantifying them, and isolating their causes are analyzed.

Copyright © 1990 by ASME
This article is only available in the PDF format.

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