The novel higher order technique, the wavelet spectral crosscovariance for gearbox vibration condition monitoring

Len Gelman, Krzysztof Solinski, Brian Shaw, Moorthy Vaidhianathasamy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The new technique of normalised wavelet spectral cross-covariance (WSC) of complex transient spectral components has been implemented for the first time for condition monitoring of gearboxes. This novel approach overcomes the limitations imposed by previously used techniques based on the higher order spectra. In this paper, the superiority of the new method is discussed. The effectiveness of normalised wavelet spectral cross-covariance gearbox diagnosis has been experimentally revealed. The developed gear tooth local faults have been diagnosed and localized at an early stage of pitting development. The results have been compared with results obtained using the wavelet bicoherence.

LanguageEnglish
Title of host publicationWCCM 2017 - 1st World Congress on Condition Monitoring 2017
PublisherBritish Institute of Non-Destructive Testing
Publication statusPublished - 2017
Externally publishedYes
Event1st World Congress on Condition Monitoring - ILEC Conference Centre, London, United Kingdom
Duration: 13 Jun 201716 Jun 2017
http://www.bindt.org/events/PastEvents/WCCM-2017/ (Link to Conference Website)

Conference

Conference1st World Congress on Condition Monitoring
Abbreviated titleWCCM 2017
CountryUnited Kingdom
CityLondon
Period13/06/1716/06/17
Internet address

Fingerprint

Gear teeth
Condition monitoring
Pitting

Cite this

Gelman, L., Solinski, K., Shaw, B., & Vaidhianathasamy, M. (2017). The novel higher order technique, the wavelet spectral crosscovariance for gearbox vibration condition monitoring. In WCCM 2017 - 1st World Congress on Condition Monitoring 2017 British Institute of Non-Destructive Testing.
Gelman, Len ; Solinski, Krzysztof ; Shaw, Brian ; Vaidhianathasamy, Moorthy. / The novel higher order technique, the wavelet spectral crosscovariance for gearbox vibration condition monitoring. WCCM 2017 - 1st World Congress on Condition Monitoring 2017. British Institute of Non-Destructive Testing, 2017.
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abstract = "The new technique of normalised wavelet spectral cross-covariance (WSC) of complex transient spectral components has been implemented for the first time for condition monitoring of gearboxes. This novel approach overcomes the limitations imposed by previously used techniques based on the higher order spectra. In this paper, the superiority of the new method is discussed. The effectiveness of normalised wavelet spectral cross-covariance gearbox diagnosis has been experimentally revealed. The developed gear tooth local faults have been diagnosed and localized at an early stage of pitting development. The results have been compared with results obtained using the wavelet bicoherence.",
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Gelman, L, Solinski, K, Shaw, B & Vaidhianathasamy, M 2017, The novel higher order technique, the wavelet spectral crosscovariance for gearbox vibration condition monitoring. in WCCM 2017 - 1st World Congress on Condition Monitoring 2017. British Institute of Non-Destructive Testing, 1st World Congress on Condition Monitoring, London, United Kingdom, 13/06/17.

The novel higher order technique, the wavelet spectral crosscovariance for gearbox vibration condition monitoring. / Gelman, Len; Solinski, Krzysztof; Shaw, Brian; Vaidhianathasamy, Moorthy.

WCCM 2017 - 1st World Congress on Condition Monitoring 2017. British Institute of Non-Destructive Testing, 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The new technique of normalised wavelet spectral cross-covariance (WSC) of complex transient spectral components has been implemented for the first time for condition monitoring of gearboxes. This novel approach overcomes the limitations imposed by previously used techniques based on the higher order spectra. In this paper, the superiority of the new method is discussed. The effectiveness of normalised wavelet spectral cross-covariance gearbox diagnosis has been experimentally revealed. The developed gear tooth local faults have been diagnosed and localized at an early stage of pitting development. The results have been compared with results obtained using the wavelet bicoherence.

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Gelman L, Solinski K, Shaw B, Vaidhianathasamy M. The novel higher order technique, the wavelet spectral crosscovariance for gearbox vibration condition monitoring. In WCCM 2017 - 1st World Congress on Condition Monitoring 2017. British Institute of Non-Destructive Testing. 2017