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 |