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

26 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

Access to Document

10.1784/insi.2010.52.8.437Licence: Unspecified

Cite this

@article{b03dd53bcb8d4b1cb3b8cf6a03032a5e,

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",

year = "2010",

month = aug,

day = "1",

doi = "10.1784/insi.2010.52.8.437",

language = "English",

volume = "52",

pages = "437--442",

journal = "Insight: Non-Destructive Testing and Condition Monitoring",

issn = "1354-2575",

publisher = "British Institute of Non-Destructive Testing",

number = "8",

}

TY - JOUR

T1 - Local damage diagnosis in gearboxes using novel wavelet technology

AU - Gryllias, K. C.

AU - Gelman, L.

AU - Shaw, B.

AU - Vaidhianathasamy, M.

PY - 2010/8/1

Y1 - 2010/8/1

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

UR - https://www.scopus.com/pages/publications/77956930541

U2 - 10.1784/insi.2010.52.8.437

DO - 10.1784/insi.2010.52.8.437

M3 - Article

AN - SCOPUS:77956930541

SN - 1354-2575

VL - 52

SP - 437

EP - 442

JO - Insight: Non-Destructive Testing and Condition Monitoring

JF - Insight: Non-Destructive Testing and Condition Monitoring

IS - 8

ER -

Local damage diagnosis in gearboxes using novel wavelet technology

Abstract

Access to Document

Other files and links

Fingerprint

Cite this