Local damage diagnosis in gearboxes using novel wavelet technology

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

doi:10.1784/insi.2010.52.8.437

Local damage diagnosis in gearboxes using novel wavelet technology

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

Research output: Contribution to journal › Article › peer-review

28 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 language	English
Pages (from-to)	437-442
Number of pages	6
Journal	Insight: Non-Destructive Testing and Condition Monitoring
Volume	52
Issue number	8
DOIs	https://doi.org/10.1784/insi.2010.52.8.437
Publication status	Published - 1 Aug 2010
Externally published	Yes

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title = "Local damage diagnosis in gearboxes using novel wavelet technology",

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\%.",

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

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

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AU - Gelman, L.

AU - Shaw, B.

AU - Vaidhianathasamy, M.

PY - 2010/8/1

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N2 - 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%.

AB - 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%.

KW - Failure analysis

KW - fault detection

KW - Planetary gear

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ER -

Local damage diagnosis in gearboxes using novel wavelet technology

Abstract

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