Local damage diagnosis in gearboxes using novel wavelet technology

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

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

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%.

Original languageEnglish
Pages (from-to)437-442
Number of pages6
JournalInsight: Non-Destructive Testing and Condition Monitoring
Volume52
Issue number8
DOIs
Publication statusPublished - 1 Aug 2010
Externally publishedYes

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