Gearbox Damage Diagnosis Using Novel Wavelet Technology

L. Gelman, K. C. Gryllias, B. Shaw, M. Vaidhianathasamy

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

Abstract

The wavelet diagnostic technology is applied for the detection of natural micro pitting on a back-to-back experimental gearbox test rig and the possibility of early detection/diagnosis of local tooth faults is shown. A number of parameters are considered and selected (features, time resolution etc.). A novel automatic decision making technique based on the likelihood ratio is used for damage diagnosis. Novel results in world-wide terms have been achieved: the technology provides an early effective detection/diagnosis of micro pitting in gears with relative pitting size 0.3 - 0.7%.

Original languageEnglish
Title of host publication7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010
Subtitle of host publicationCM 2010/MFPT 2010
PublisherBritish Institute of Non-Destructive Testing
Pages1194-1202
Number of pages9
Volume1
ISBN (Print)9781618390134
Publication statusPublished - 2010
Externally publishedYes
Event7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - Stratford-upon-Avon, United Kingdom
Duration: 22 Jun 201024 Jun 2010
Conference number: 7

Conference

Conference7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies
Abbreviated titleCM/MFPT 2010
CountryUnited Kingdom
CityStratford-upon-Avon
Period22/06/1024/06/10

Fingerprint

Pitting
Gears
Decision making

Cite this

Gelman, L., Gryllias, K. C., Shaw, B., & Vaidhianathasamy, M. (2010). Gearbox Damage Diagnosis Using Novel Wavelet Technology. In 7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010: CM 2010/MFPT 2010 (Vol. 1, pp. 1194-1202). British Institute of Non-Destructive Testing.
Gelman, L. ; Gryllias, K. C. ; Shaw, B. ; Vaidhianathasamy, M. / Gearbox Damage Diagnosis Using Novel Wavelet Technology. 7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010: CM 2010/MFPT 2010. Vol. 1 British Institute of Non-Destructive Testing, 2010. pp. 1194-1202
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keywords = "Failure analysis, fault detection, Planetary gearbox",
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Gelman, L, Gryllias, KC, Shaw, B & Vaidhianathasamy, M 2010, Gearbox Damage Diagnosis Using Novel Wavelet Technology. in 7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010: CM 2010/MFPT 2010. vol. 1, British Institute of Non-Destructive Testing, pp. 1194-1202, 7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Stratford-upon-Avon, United Kingdom, 22/06/10.

Gearbox Damage Diagnosis Using Novel Wavelet Technology. / Gelman, L.; Gryllias, K. C.; Shaw, B.; Vaidhianathasamy, M.

7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010: CM 2010/MFPT 2010. Vol. 1 British Institute of Non-Destructive Testing, 2010. p. 1194-1202.

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

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T1 - Gearbox Damage Diagnosis Using Novel Wavelet Technology

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AU - Shaw, B.

AU - Vaidhianathasamy, M.

PY - 2010

Y1 - 2010

N2 - The wavelet diagnostic technology is applied for the detection of natural micro pitting on a back-to-back experimental gearbox test rig and the possibility of early detection/diagnosis of local tooth faults is shown. A number of parameters are considered and selected (features, time resolution etc.). A novel automatic decision making technique based on the likelihood ratio is used for damage diagnosis. Novel results in world-wide terms have been achieved: the technology provides an early effective detection/diagnosis of micro pitting in gears with relative pitting size 0.3 - 0.7%.

AB - The wavelet diagnostic technology is applied for the detection of natural micro pitting on a back-to-back experimental gearbox test rig and the possibility of early detection/diagnosis of local tooth faults is shown. A number of parameters are considered and selected (features, time resolution etc.). A novel automatic decision making technique based on the likelihood ratio is used for damage diagnosis. Novel results in world-wide terms have been achieved: the technology provides an early effective detection/diagnosis of micro pitting in gears with relative pitting size 0.3 - 0.7%.

KW - Failure analysis

KW - fault detection

KW - Planetary gearbox

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Gelman L, Gryllias KC, Shaw B, Vaidhianathasamy M. Gearbox Damage Diagnosis Using Novel Wavelet Technology. In 7th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2010: CM 2010/MFPT 2010. Vol. 1. British Institute of Non-Destructive Testing. 2010. p. 1194-1202