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Please use this identifier to cite or link to this item: http://dspace.lib.cranfield.ac.uk/handle/1826/10684

Document Type: Conference paper
Title: Novel gear diagnosis technique based on spectral kurtosis
Authors: Chandra, Harish
Gelman, Leonid
Issue Date: 31-Jul-2016
Citation: Harish 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.
Abstract: In 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.
URI: http://www.iiav.org/archives_icsv_last/2016_icsv23/content/papers/papers/full_paper_901_20160603143511560.pdf
Appears in Collections:Staff publications (SATM)

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