Identifying faults in the variable geometry system of a gas turbine compressor

Tsalavoutas, A; Mathioudakis, K; Stamatis, A; Smith, M

dc.contributor.author	Tsalavoutas, A	en
dc.contributor.author	Mathioudakis, K	en
dc.contributor.author	Stamatis, A	en
dc.contributor.author	Smith, M	en
dc.date.accessioned	2014-03-01T01:16:38Z
dc.date.available	2014-03-01T01:16:38Z
dc.date.issued	2001	en
dc.identifier.issn	0889-504X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14132
dc.subject	Gas Turbine	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	Axial flow turbomachinery	en
dc.subject.other	Compressors	en
dc.subject.other	Condition monitoring	en
dc.subject.other	Fuel burners	en
dc.subject.other	Geometry	en
dc.subject.other	Stators	en
dc.subject.other	Aerothermodynamic measurements	en
dc.subject.other	Gas turbines	en
dc.subject.other	axial compressor	en
dc.subject.other	compressor	en
dc.subject.other	gas turbine	en
dc.subject.other	measurement method	en
dc.subject.other	performance	en
dc.title	Identifying faults in the variable geometry system of a gas turbine compressor	en
heal.type	journalArticle	en
heal.identifier.primary	10.1115/1.1330267	en
heal.identifier.secondary	http://dx.doi.org/10.1115/1.1330267	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	The influence of faults in the variable geometry (variable stator vanes) system of a multistage axial compressor on the performance of an industrial gas turbine is investigated. An experimental investigation has been conducted by implanting such faults into an operating gas turbine. The faults examined are individual stator vane mistunings of different magnitudes and located at different stages. Fault identification is based on the aerothemodynamic measurement data and is achieved by employing two different techniques, namely adaptive performance modeling and monitoring the circumferential distribution of the the turbine exit temperature. It is observed that the deviations of the health indices produced by an adaptive performance model form patterns that can be used to identify the faults. The patterns characterize both the kind and the magnitude of the fault. On the other hand, the turbine exit temperature profile is also influenced and its change can be used as additional information, to increase the confidence level of the diagnosis (contrary to customary practice, which expects temperatures profiles to reflect only burner or turbine malfunctions).	en
heal.publisher	ASME-AMER SOC MECHANICAL ENG	en
heal.journalName	Journal of Turbomachinery	en
dc.identifier.doi	10.1115/1.1330267	en
dc.identifier.isi	ISI:000167051100007	en
dc.identifier.volume	123	en
dc.identifier.issue	1	en
dc.identifier.spage	33	en
dc.identifier.epage	39	en