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 proceedingConference contribution

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 languageEnglish
Title of host publication8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011
Subtitle of host publicationCM 2011/MFPT 2011
PublisherBritish Institute of Non-Destructive Testing
Pages1013-1026
Number of pages14
Volume1
ISBN (Print)9781618390141
Publication statusPublished - 2011
Externally publishedYes
Event8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - Cardiff, United Kingdom
Duration: 20 Jun 201122 Jun 2011
Conference number: 8

Conference

Conference8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies
Abbreviated titleCM/MFPT 2011
CountryUnited Kingdom
CityCardiff
Period20/06/1122/06/11

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  • 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.