Novel spectral kurtosis technology for adaptive vibration condition monitoring of multi-stage gearboxes

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dc.contributor.authorGelman, Leonid
dc.contributor.authorHarish Chandra, N.
dc.contributor.authorKurosz, R.
dc.contributor.authorPellicano, F.
dc.contributor.authorBarbieri, M.
dc.contributor.authorZippo, A.
dc.date.accessioned2016-11-04T15:28:39Z
dc.date.available2016-11-04T15:28:39Z
dc.date.issued2016-08-31
dc.description.abstractIn this paper, the novel wavelet spectral kurtosis (WSK) technique is applied for the early diagnosis of gear tooth faults. Two variants of the wavelet spectral kurtosis technique, called variable resolution WSK and constant resolution WSK, are considered for the diagnosis of pitting gear faults. The gear residual signal, obtained by filtering the gear mesh frequencies, is used as the input to the SK algorithm. The advantages of using the wavelet-based SK techniques when compared to classical Fourier transform (FT)-based SK is confirmed by estimating the toothwise Fisher's criterion of diagnostic features. The final diagnosis decision is made by a three-stage decision-making technique based on the weighted majority rule. The probability of the correct diagnosis is estimated for each SK technique for comparison. An experimental study is presented in detail to test the performance of the wavelet spectral kurtosis techniques and the decision-making technique.en_UK
dc.identifier.citationGelman, L; Chandra, N Harish et al. Novel spectral kurtosis technology for adaptive vibration condition monitoring of multi-stage gearboxes, Insight - Non-Destructive Testing & Condition Monitoring, Volume 58, Number 8, August 2016, pp. 409-416en_UK
dc.identifier.issn1354-2575
dc.identifier.urihttps://doi.org/10.1784/insi.2016.58.8.409
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10943
dc.language.isoenen_UK
dc.publisherBritish Institute of Non-destructive Testingen_UK
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.titleNovel spectral kurtosis technology for adaptive vibration condition monitoring of multi-stage gearboxesen_UK
dc.typeArticleen_UK

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