Novel Comparison of Vibration and Acoustic Detection of Local Tooth Damage in Gearboxes

K. C. Gryllias; A. Borisov; L. Gelman; B. Shaw; M. Vaidhianathasamy; M. Walters

Novel Comparison of Vibration and Acoustic Detection of Local Tooth Damage in Gearboxes

K. C. Gryllias, A. Borisov, L. Gelman, B. Shaw, M. Vaidhianathasamy, M. Walters

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

Abstract

The classical residual and the wavelet techniques are applied on acoustic and vibration data for detection of micro pitting on a back-to-back experimental gearbox test rig and early detection of local tooth faults is analyzed. An advanced decision making technique based on the likelihood ratio is used for damage detection. The results indicate that acoustic technologies are very effective tools for early gear damage detection. Novel comparisons between • acoustic and vibration damage detection technologies • the residual and wavelet detection technologies were performed taking into account the following three criteria: the correlation between diagnostic features and pitting estimates, the mean pitting size of the first detection and the mean percentage of detections.

Original language	English
Title of host publication	8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011
Subtitle of host publication	CM 2011/MFPT 2011
Publisher	British Institute of Non-Destructive Testing
Pages	1013-1026
Number of pages	14
Volume	1
ISBN (Print)	9781618390141
Publication status	Published - 2011
Externally published	Yes
Event	8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - Cardiff, United Kingdom Duration: 20 Jun 2011 → 22 Jun 2011 Conference number: 8

Conference

Conference	8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies
Abbreviated title	CM/MFPT 2011
Country/Territory	United Kingdom
City	Cardiff
Period	20/06/11 → 22/06/11

Cite this

Gryllias, K. C., Borisov, A., Gelman, L., Shaw, B., Vaidhianathasamy, M., & Walters, M. (2011). Novel Comparison of Vibration and Acoustic Detection of Local Tooth Damage in Gearboxes. In 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011: CM 2011/MFPT 2011 (Vol. 1, pp. 1013-1026). British Institute of Non-Destructive Testing.

@inproceedings{b1ffc134f6fa47b390f44a2be52ab6b9,

title = "Novel Comparison of Vibration and Acoustic Detection of Local Tooth Damage in Gearboxes",

abstract = "The classical residual and the wavelet techniques are applied on acoustic and vibration data for detection of micro pitting on a back-to-back experimental gearbox test rig and early detection of local tooth faults is analyzed. An advanced decision making technique based on the likelihood ratio is used for damage detection. The results indicate that acoustic technologies are very effective tools for early gear damage detection. Novel comparisons between • acoustic and vibration damage detection technologies • the residual and wavelet detection technologies were performed taking into account the following three criteria: the correlation between diagnostic features and pitting estimates, the mean pitting size of the first detection and the mean percentage of detections.",

keywords = "Failure analysis, fault detection, Planetary gearbox",

author = "Gryllias, {K. C.} and A. Borisov and L. Gelman and B. Shaw and M. Vaidhianathasamy and M. Walters",

year = "2011",

language = "English",

isbn = "9781618390141",

volume = "1",

pages = "1013--1026",

booktitle = "8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011",

publisher = "British Institute of Non-Destructive Testing",

address = "United Kingdom",

note = "8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, CM/MFPT 2011 ; Conference date: 20-06-2011 Through 22-06-2011",

}

Gryllias, KC, Borisov, A, Gelman, L, Shaw, B, Vaidhianathasamy, M & Walters, M 2011, Novel Comparison of Vibration and Acoustic Detection of Local Tooth Damage in Gearboxes. in 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011: CM 2011/MFPT 2011. vol. 1, British Institute of Non-Destructive Testing, pp. 1013-1026, 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Cardiff, United Kingdom, 20/06/11.

Novel Comparison of Vibration and Acoustic Detection of Local Tooth Damage in Gearboxes. / Gryllias, K. C.; Borisov, A.; Gelman, L. et al.

8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011: CM 2011/MFPT 2011. Vol. 1 British Institute of Non-Destructive Testing, 2011. p. 1013-1026.

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

TY - GEN

T1 - Novel Comparison of Vibration and Acoustic Detection of Local Tooth Damage in Gearboxes

AU - Gryllias, K. C.

AU - Borisov, A.

AU - Gelman, L.

AU - Shaw, B.

AU - Vaidhianathasamy, M.

AU - Walters, M.

N1 - Conference code: 8

PY - 2011

Y1 - 2011

N2 - The classical residual and the wavelet techniques are applied on acoustic and vibration data for detection of micro pitting on a back-to-back experimental gearbox test rig and early detection of local tooth faults is analyzed. An advanced decision making technique based on the likelihood ratio is used for damage detection. The results indicate that acoustic technologies are very effective tools for early gear damage detection. Novel comparisons between • acoustic and vibration damage detection technologies • the residual and wavelet detection technologies were performed taking into account the following three criteria: the correlation between diagnostic features and pitting estimates, the mean pitting size of the first detection and the mean percentage of detections.

AB - The classical residual and the wavelet techniques are applied on acoustic and vibration data for detection of micro pitting on a back-to-back experimental gearbox test rig and early detection of local tooth faults is analyzed. An advanced decision making technique based on the likelihood ratio is used for damage detection. The results indicate that acoustic technologies are very effective tools for early gear damage detection. Novel comparisons between • acoustic and vibration damage detection technologies • the residual and wavelet detection technologies were performed taking into account the following three criteria: the correlation between diagnostic features and pitting estimates, the mean pitting size of the first detection and the mean percentage of detections.

KW - Failure analysis

KW - fault detection

KW - Planetary gearbox

UR - http://www.scopus.com/inward/record.url?scp=84905755598&partnerID=8YFLogxK

UR - https://www.bindt.org/shopbindt/cd-roms/proceedings-of-cm-mfpt-2011.html#.XkUgU2j7S71

UR - http://www.proceedings.com/12148.html

M3 - Conference contribution

AN - SCOPUS:84905755598

SN - 9781618390141

VL - 1

SP - 1013

EP - 1026

BT - 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011

PB - British Institute of Non-Destructive Testing

T2 - 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies

Y2 - 20 June 2011 through 22 June 2011

ER -

Novel Comparison of Vibration and Acoustic Detection of Local Tooth Damage in Gearboxes

Abstract

Conference

Other files and links

Fingerprint

Cite this