Novel gear diagnosis technique based on spectral kurtosis

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dc.contributor.authorChandra, Harish
dc.contributor.authorGelman, Leonid
dc.date.accessioned2016-10-07T07:44:04Z
dc.date.available2016-10-07T07:44:04Z
dc.date.issued2016-07-31
dc.description.abstractIn this paper, a new thresholding technique used for diagnosis of gearbox pitting tooth faults is introduced. The diagnosis procedure involves in estimation of the Time Synchronous Average (TSA) signal and the gear residual signal, and then the Spectral Kurtosis optimal filter is estimated using the proposed thresholding procedure. By considering overlapping among the TSA segments, several realizations of the TSA signal are estimated. It is important that the SK estimated over the realizations should be consistent. The statistical SK thresholding procedure presented in literature is used for comparing the performance of the proposed approach. A three stage diagnosis decision making technique based on weighted majority rule is used for final diagnosis.en_UK
dc.identifier.citationHarish Chandra and Len Gelman. Novel gear diagnosis technique based on spectral kurtosis. 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics, (ICSV 2016) 10-14 July 2016, Athens, Greece.en_UK
dc.identifier.isbn978-960992262-3
dc.identifier.urihttp://www.iiav.org/archives_icsv_last/2016_icsv23/content/papers/papers/full_paper_901_20160603143511560.pdf
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10684
dc.language.isoenen_UK
dc.publisherInternational Institute of Acoustics and Vibrationsen_UK
dc.titleNovel gear diagnosis technique based on spectral kurtosisen_UK
dc.typeConference paperen_UK

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