Novel in-service combustion instability detection using the chirp fourier higher order spectra

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dc.contributor.authorGelman, Len
dc.contributor.authorParrish, Colin
dc.contributor.authorPetrunin, Ivan
dc.contributor.authorWalters, Mark
dc.date.accessioned2017-04-07T07:55:32Z
dc.date.available2017-04-07T07:55:32Z
dc.date.issued2017-03-06
dc.description.abstractCombustion instabilities, known as “rumble” and “screech” are the self-excited aerodynamic instabilities in the gas turbine combustor. They cause the premature failures of the gas turbine components, and, consequently, the failure of the gas turbine as a whole. Because of the complex physical effects underlying the rumble and the screech phenomena, it is difficult to eliminate them completely at the design stage. Therefore, special attention should be paid to the detection of the combustion instabilities in the gas turbine in order to prevent its prolonged operation in this mode. There are known techniques, which are able to detect the rumble and the screech in gas turbines. Most of them do not consider the combustion instabilities as non-linear and non-stationary events and, therefore, have lower detection efficiency. Novel technique for in-service combustion instability detection is implemented in this paper. This technique overcomes the limitations of the existing solutions.en_UK
dc.identifier.citationGelman L, Parrish C, Petrunin I, Walters M. (2017) Novel in-service combustion instability detection using the chirp fourier higher order spectra. Volume 8, Issue 1, 2017, pp. 1-8en_UK
dc.identifier.cris17127433
dc.identifier.issn2153-2648
dc.identifier.urihttps://www.phmsociety.org/node/2182
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/11749
dc.language.isoenen_UK
dc.publisherPrognostics and Health Management Societyen_UK
dc.rightsAttribution 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectrumbleen_UK
dc.subjectvibration diagnosisen_UK
dc.subjecthigher order spectraen_UK
dc.titleNovel in-service combustion instability detection using the chirp fourier higher order spectraen_UK
dc.typeArticleen_UK

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