Identification of sensor faults on turbofan engines using pattern recognition techniques

Aretakis, N; Mathioudakis, K; Stamatis, A

dc.contributor.author	Aretakis, N	en
dc.contributor.author	Mathioudakis, K	en
dc.contributor.author	Stamatis, A	en
dc.date.accessioned	2014-03-01T01:20:36Z
dc.date.available	2014-03-01T01:20:36Z
dc.date.issued	2004	en
dc.identifier.issn	0967-0661	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15980
dc.subject	Adaptive model	en
dc.subject	Aircraft engines	en
dc.subject	Diagnostics	en
dc.subject	Gas turbines	en
dc.subject	Pattern recognition	en
dc.subject	Sensor faults	en
dc.subject.classification	Automation & Control Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Adaptive control systems	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer simulation	en
dc.subject.other	Identification (control systems)	en
dc.subject.other	Pattern recognition	en
dc.subject.other	Turbofan engines	en
dc.subject.other	Modification factors	en
dc.subject.other	Sensor faults	en
dc.subject.other	Sensors	en
dc.subject.other	fault detection	en
dc.subject.other	gas turbine	en
dc.title	Identification of sensor faults on turbofan engines using pattern recognition techniques	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.conengprac.2003.09.011	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.conengprac.2003.09.011	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	The possibility to identify faults in the readings of the sensors used to monitor the performance of a high by-pass ratio turbofan engine is examined. A novel method is proposed, based on the following principle: if a measurement set is fed to an adaptive performance analysis algorithm, a set of component performance modification factors (fault parameters) is produced. Faults, which may be present in the measurement set, may be recognized from the patterns they produce on the modification factors. The constitution of a method of this type based on pattern recognition techniques is discussed here. Test cases corresponding to different sensor faults, simulating operation in real conditions are examined. Three kinds of pattern recognition techniques with increasing complexity are used, in order to correctly identify the examined sensor faults. It is demonstrated that by choosing an appropriate formulation it is possible to have a 100% success in the identification of the examined sensor faults. (C) 2003 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Control Engineering Practice	en
dc.identifier.doi	10.1016/j.conengprac.2003.09.011	en
dc.identifier.isi	ISI:000221433000004	en
dc.identifier.volume	12	en
dc.identifier.issue	7	en
dc.identifier.spage	827	en
dc.identifier.epage	836	en