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The Use of Probabilistic Reasoning to Improve Least Squares Based Gas Path Diagnostics

[+] Author Affiliations
C. Romessis, Ph. Kamboukos, K. Mathioudakis

National Technical University of Athens, Athens, Greece

Paper No. GT2006-90619, pp. 681-689; 9 pages
doi:10.1115/GT2006-90619
From:
  • ASME Turbo Expo 2006: Power for Land, Sea, and Air
  • Volume 2: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Controls, Diagnostics and Instrumentation; Environmental and Regulatory Affairs
  • Barcelona, Spain, May 8–11, 2006
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 0-7918-4237-1 | eISBN: 0-7918-3774-2
  • Copyright © 2006 by ASME

abstract

A method is proposed to support least square type of methods for deriving health parameters from a small number of independent gas path measurements. The method derives statistical information using sets of solutions derived from a number of data records, to produce sets of candidate solutions with a lesser number of parameters. These sets can then be processed to derive an accurate component fault diagnosis. It could thus be classified as a new type of “concentrator” approach, which is shown to be more effective than previously existing schemes. The method’s effectiveness is demonstrated by application to a number of typical jet engine component faults.

Copyright © 2006 by ASME

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