Procedure for automated gas turbine blade fault identification based on spectral pattern analysis

Loukis, E; Mathioudakis, K; Papailiou, K

dc.contributor.author	Loukis, E	en
dc.contributor.author	Mathioudakis, K	en
dc.contributor.author	Papailiou, K	en
dc.date.accessioned	2014-03-01T01:08:38Z
dc.date.available	2014-03-01T01:08:38Z
dc.date.issued	1992	en
dc.identifier.issn	0742-4795	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10618
dc.subject	Fault Identification	en
dc.subject	Gas Turbine	en
dc.subject	Pattern Analysis	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	Control, Mechanical Variables - Aerodynamics	en
dc.subject.other	Gas Turbines - Performance	en
dc.subject.other	Pattern Recognition Systems - Computer Applications	en
dc.subject.other	Turbomachinery - Blades	en
dc.subject.other	Automatic Fault Identification	en
dc.subject.other	Discriminants	en
dc.subject.other	Gas Turbine Blades	en
dc.subject.other	Spectral Pattern Analysis	en
dc.subject.other	Gas Turbines	en
dc.title	Procedure for automated gas turbine blade fault identification based on spectral pattern analysis	en
heal.type	journalArticle	en
heal.identifier.primary	10.1115/1.2906573	en
heal.identifier.secondary	http://dx.doi.org/10.1115/1.2906573	en
heal.language	English	en
heal.publicationDate	1992	en
heal.abstract	A method for diagnosing the existence and the kinds of faults in blades of a gas turbine compressor is presented in the present paper. The innovative feature of this method is that it performs the diagnosis automatically, that is, it gives a direct answer to whether a fault exists and what type of fault it is, without requiring the interpretation of results by a human expert. This is achieved by derivation of the values of discriminants calculated from spectral patterns of fast response measurement data. A decision about the corresponding engine status is then derived according to the values of the discriminants. In the paper, the procedure of examining the suitability of particular parameter discriminants and the constitution of a related knowledge base is described. The derivation of decisions by a computer, and on what engine condition a particular measurement data set corresponds, are then described.	en
heal.publisher	ASME-AMER SOC MECHANICAL ENG	en
heal.journalName	Journal of Engineering for Gas Turbines and Power	en
dc.identifier.doi	10.1115/1.2906573	en
dc.identifier.isi	ISI:A1992HT25400007	en
dc.identifier.volume	114	en
dc.identifier.issue	2	en
dc.identifier.spage	201	en
dc.identifier.epage	208	en