Enhanced fault localization using probabilistic fusion with gas path analysis algorithms

Kyriazis, A; Mathioudakis, K

dc.contributor.author	Kyriazis, A	en
dc.contributor.author	Mathioudakis, K	en
dc.date.accessioned	2014-03-01T01:30:21Z
dc.date.available	2014-03-01T01:30:21Z
dc.date.issued	2009	en
dc.identifier.issn	0742-4795	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19559
dc.subject	Fault Localization	en
dc.subject	Path Analysis	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	Component performance deviation	en
dc.subject.other	Diagnostic problem	en
dc.subject.other	Engine components	en
dc.subject.other	Fault identifications	en
dc.subject.other	Fault localization	en
dc.subject.other	Fault probabilities	en
dc.subject.other	Gas path	en
dc.subject.other	Gas path analysis	en
dc.subject.other	Two-stage process	en
dc.subject.other	Regression analysis	en
dc.subject.other	Algorithms	en
dc.title	Enhanced fault localization using probabilistic fusion with gas path analysis algorithms	en
heal.type	journalArticle	en
heal.identifier.primary	10.1115/1.3078793	en
heal.identifier.secondary	http://dx.doi.org/10.1115/1.3078793	en
heal.identifier.secondary	051601	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	A method for gas turbine fault identification from gas path data, in situations with a limited number of measurements, is presented. The method consists of a two stage process: (a) localization of the component or group of components with a fault and (b) fault identification by determining the precise location and magnitude of component performance deviations. The paper focuses on methods that allow improved localization of the faulty components. Gas path analysis (GPA) algorithms are applied to diagnostic sets comprising different combinations of engine components. The results are used to derive fault probabilities, which are then fused to derive a conclusion as to the location of a fault. Once the set of possible faulty components is determined, a well defined diagnostic problem is formulated and the faulty parameters are determined by means of a suitable algorithm. It is demonstrated that the method has an improved effectiveness when compared with previous GPA based methods. [DOI: 10.1115/1.3078793]	en
heal.publisher	ASME-AMER SOC MECHANICAL ENG	en
heal.journalName	Journal of Engineering for Gas Turbines and Power	en
dc.identifier.doi	10.1115/1.3078793	en
dc.identifier.isi	ISI:000266967200003	en
dc.identifier.volume	131	en
dc.identifier.issue	5	en