Wavelet analysis for gas turbine fault diagnostics

Aretakis, N; Mathioudakis, K

dc.contributor.author	Aretakis, N	en
dc.contributor.author	Mathioudakis, K	en
dc.date.accessioned	2014-03-01T01:13:30Z
dc.date.available	2014-03-01T01:13:30Z
dc.date.issued	1997	en
dc.identifier.issn	0742-4795	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12516
dc.subject	Gas Turbine	en
dc.subject	Wavelet Analysis	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	VIBRATION	en
dc.title	Wavelet analysis for gas turbine fault diagnostics	en
heal.type	journalArticle	en
heal.identifier.primary	10.1115/1.2817067	en
heal.identifier.secondary	http://dx.doi.org/10.1115/1.2817067	en
heal.language	English	en
heal.publicationDate	1997	en
heal.abstract	The application of wavelet analysis to diagnosing faults in gas turbines is examined in the present paper. Applying the wavelet transform to time signals obtained from sensors placed on an engine gives information in correspondence to their Fourier transform. Diagnostic techniques based on Fourier analysis of signals can therefore be transposed to the wavelet analysis. In the paper the basic properties of wavelets, in relation to the nature of turbomachinery signals, are discussed. The possibilities for extracting diagnostic information by means of wavelets are examined, by studying the applicability to existing data from vibration, unsteady pressure, and acoustic measurements. Advantages offered, with respect to existing methods based on harmonic analysis, are discussed as well as particular requirements related to practical application.	en
heal.publisher	ASME-AMER SOC MECHANICAL ENG	en
heal.journalName	Journal of Engineering for Gas Turbines and Power	en
dc.identifier.doi	10.1115/1.2817067	en
dc.identifier.isi	ISI:A1997YD47400014	en
dc.identifier.volume	119	en
dc.identifier.issue	4	en
dc.identifier.spage	870	en
dc.identifier.epage	875	en