Combination of different unsteady quantity measurements for gas turbine blade fault diagnosis

Loukis, E; Wetta, P; Mathioudakis, K; Papathanasiou, A; Papailiou, A

dc.contributor.author	Loukis, E	en
dc.contributor.author	Wetta, P	en
dc.contributor.author	Mathioudakis, K	en
dc.contributor.author	Papathanasiou, A	en
dc.contributor.author	Papailiou, A	en
dc.date.accessioned	2014-03-01T02:47:59Z
dc.date.available	2014-03-01T02:47:59Z
dc.date.issued	1991	en
dc.identifier.issn	04021215	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33495
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0025796291&partnerID=40&md5=cf296765e39b659f6a5165ba0e2e58db	en
dc.subject.other	Acoustic Variables Measurement - Intensity	en
dc.subject.other	Flow of Fluids - Unsteady Flow	en
dc.subject.other	Pressure Measurement	en
dc.subject.other	Turbomachinery - Vibrations	en
dc.subject.other	Vibrations - Measurements	en
dc.subject.other	Accoustic Fields Processing	en
dc.subject.other	Acoustic Images	en
dc.subject.other	Blade Fault Diagnosis	en
dc.subject.other	Data Analysis Technique	en
dc.subject.other	Fault Signatures	en
dc.subject.other	Unsteady Quantity Measurements	en
dc.subject.other	Gas Turbines	en
dc.title	Combination of different unsteady quantity measurements for gas turbine blade fault diagnosis	en
heal.type	conferenceItem	en
heal.publicationDate	1991	en
heal.abstract	The exploitation of different unsteady quantity measurements for identifying various blade faults is examined in this paper. Measurements of sound emission, casing vibration, shaft displacement and unsteady inner wall pressure are considered. It is demonstrated that particular measurements are sensitive to specific faults. The suitability of measuring each of the above physical quantities for tracing the existence of each kind of fault is discussed. The advantage of combining different measurements originates from the possibility of extending the fault repertory covered when only one particular quantity is considered. The data analysis techniques employed range from conventional signal processing to the derivation of acoustic images of the engine outer surface. Relative features of each techniques, as to their effectiveness and level of intrusivity, are discussed.	en
heal.publisher	Publ by ASME, New York, NY, United States	en
heal.journalName	American Society of Mechanical Engineers (Paper)	en