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Local damage diagnosis in gearboxes using novel wavelet technology

Lookup NU author(s): Professor Brian Shaw, Dr Moorthy Vaidhianathasamy


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Novel wavelet diagnostic technology is applied and validated for early detection/diagnosis of local tooth damage in a back-to-back gearbox. An advanced automatic decisionmaking technique based on the likelihood ratio is used for damage diagnosis. Novel results in worldwide terms have been achieved: an early effective detection/diagnosis of micro-pitting in gears with relative pitting size 0.3 - 0.7%.

Publication metadata

Author(s): Gryllias K, Gelman L, Shaw B, Vaidhianathasamy M

Publication type: Article

Publication status: Published

Journal: Insight: Non-Destructive Testing and Condition Monitoring

Year: 2010

Volume: 52

Issue: 8

Pages: 437-442

Print publication date: 01/08/2010

ISSN (print): 1354-2575

ISSN (electronic): 1754-4904

Publisher: British Institute of Non-Destructive Testing


DOI: 10.1784/insi.2010.52.8.437


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