Please use this identifier to cite or link to this item:
|Document Type: ||Conference paper|
|Title: ||Novel gear diagnosis technique based on spectral kurtosis|
|Authors: ||Chandra, Harish|
|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.|
|Appears in Collections:||Staff publications (SATM)|
Files in This Item:
There are no files associated with this item.
Items in CERES are protected by copyright, with all rights reserved, unless otherwise indicated.