Gas turbine diagnosis using a fault isolation enhanced GPA

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dc.contributor.authorLi, Yiguang
dc.date.accessioned2017-09-05T11:13:11Z
dc.date.available2017-09-05T11:13:11Z
dc.date.issued2004-07
dc.description.abstractGas Path Analysis (GPA) and its different derivatives have been developed for more than thirty years and used widely and successfully by many gas turbine manufacturers and operators. In gas turbine gas path component diagnosis, it has been recognized for a long time that GPA would be more successful if degraded components could be located. Unfortunately, only the deviation of measurable parameters is monitored in operation and information about the degraded components is normally not available. In this research, a two-step diagnostic approach is introduced, where a pattern matching method is used first and further developed to isolate degraded components; then Gas Path Analysis is applied to assess the quantity of degradation. A gas turbine performance simulation program, Cranfield University TURBOMATCH, has been modified to simulate the diagnostic process. A model gas turbine engine similar to Rolls-Royce aero AVON is used to test the effectiveness of the approach. It is found that the developed fault isolation method can isolate degraded components accurately and enhance the effectiveness of the quantitative assessment of the degradation with Gas Path Analysis (GPA) in gas turbine diagnostics. Copyright © 2004 by ASMEen_UK
dc.identifier.citationLi YG, Gas turbine diagnosis using a fault isolation enhanced GPA, Proceedings of ASME Turbo Expo 2004: Power for Land, Sea, and Air (GT2004), 14-17 July 2004, Vienna, Austria, Volume 7, pp. 361-369, Paper number GT2004-53571en_UK
dc.identifier.isbn0-7918-4172-3
dc.identifier.urihttp://dx.doi.org/10.1115/GT2004-53571
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12440
dc.language.isoenen_UK
dc.publisherASMEen_UK
dc.rights©2004 ASME. This is the Author Accepted Manuscript. Please refer to any applicable publisher terms of use.
dc.subjectGas turbinesen_UK
dc.subjectPatient diagnosisen_UK
dc.titleGas turbine diagnosis using a fault isolation enhanced GPAen_UK
dc.typeConference paperen_UK

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