Novel gear diagnosis technique based on spectral kurtosis

Harish Chandra; Len Gelman

Novel gear diagnosis technique based on spectral kurtosis

Harish Chandra, Len Gelman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	ICSV 2016 - 23rd International Congress on Sound and Vibration
Subtitle of host publication	From Ancient to Modern Acoustics
Publisher	International Institute of Acoustics and Vibrations
ISBN (Electronic)	9789609922623
Publication status	Published - 2016
Externally published	Yes
Event	23rd International Congress on Sound & Vibration: From Ancient to Modern Acoustics - Athenaeum Intercontinental Hotel, Athens, Greece Duration: 10 Jul 2016 → 14 Jul 2016 Conference number: 23 https://www.iiav.org/icsv23/ (Link to Conference Website)

Conference

Conference	23rd International Congress on Sound & Vibration
Abbreviated title	ICSV 2016
Country/Territory	Greece
City	Athens
Period	10/07/16 → 14/07/16
Internet address	https://www.iiav.org/icsv23/ (Link to Conference Website)

Cite this

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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",

year = "2016",

language = "English",

booktitle = "ICSV 2016 - 23rd International Congress on Sound and Vibration",

publisher = "International Institute of Acoustics and Vibrations",

address = "United States",

note = "23rd International Congress on Sound & Vibration : From Ancient to Modern Acoustics, ICSV 2016 ; Conference date: 10-07-2016 Through 14-07-2016",

url = "https://www.iiav.org/icsv23/",

}

TY - GEN

T1 - Novel gear diagnosis technique based on spectral kurtosis

AU - Chandra, Harish

AU - Gelman, Len

N1 - Conference code: 23

PY - 2016

Y1 - 2016

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.

UR - http://www.scopus.com/inward/record.url?scp=84987923877&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84987923877

BT - ICSV 2016 - 23rd International Congress on Sound and Vibration

PB - International Institute of Acoustics and Vibrations

T2 - 23rd International Congress on Sound & Vibration

Y2 - 10 July 2016 through 14 July 2016

ER -

Novel gear diagnosis technique based on spectral kurtosis

Abstract

Conference

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