Novel gear diagnosis technique based on spectral kurtosis

Harish Chandra, Len Gelman

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

2 Citations (Scopus)

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.

LanguageEnglish
Title of host publicationICSV 2016 - 23rd International Congress on Sound and Vibration
Subtitle of host publicationFrom Ancient to Modern Acoustics
PublisherInternational Institute of Acoustics and Vibrations
ISBN (Electronic)9789609922623
Publication statusPublished - 2016
Externally publishedYes
Event23rd International Congress on Sound & Vibration: From Ancient to Modern Acoustics - Athenaeum Intercontinental Hotel, Athens, Greece
Duration: 10 Jul 201614 Jul 2016
Conference number: 23
https://www.iiav.org/icsv23/ (Link to Conference Website)

Conference

Conference23rd International Congress on Sound & Vibration
Abbreviated titleICSV 2016
CountryGreece
CityAthens
Period10/07/1614/07/16
Internet address

Fingerprint

kurtosis
Gears
transmissions (machine elements)
pitting
decision making
teeth
Pitting
Decision making
filters

Cite this

Chandra, H., & Gelman, L. (2016). Novel gear diagnosis technique based on spectral kurtosis. In ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics International Institute of Acoustics and Vibrations.
Chandra, Harish ; Gelman, Len. / Novel gear diagnosis technique based on spectral kurtosis. ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics. International Institute of Acoustics and Vibrations, 2016.
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title = "Novel gear diagnosis technique based on spectral kurtosis",
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.",
author = "Harish Chandra and Len Gelman",
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booktitle = "ICSV 2016 - 23rd International Congress on Sound and Vibration",
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Chandra, H & Gelman, L 2016, Novel gear diagnosis technique based on spectral kurtosis. in ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics. International Institute of Acoustics and Vibrations, 23rd International Congress on Sound & Vibration, Athens, Greece, 10/07/16.

Novel gear diagnosis technique based on spectral kurtosis. / Chandra, Harish; Gelman, Len.

ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics. International Institute of Acoustics and Vibrations, 2016.

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

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AU - Gelman, Len

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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Chandra H, Gelman L. Novel gear diagnosis technique based on spectral kurtosis. In ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics. International Institute of Acoustics and Vibrations. 2016