Gear Fault Diagnosis Based on Optimal Morlet Wavelet Filter and Autocorrelation Enhancement

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00240259" target="_blank" >RIV/68407700:21220/15:00240259 - isvavai.cz</a>

Result on the web

<a href="http://papers.sae.org/2015-01-0212" target="_blank" >http://papers.sae.org/2015-01-0212</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4271/2015-01-0212" target="_blank" >10.4271/2015-01-0212</a>

Result language

angličtina

Original language name

Gear Fault Diagnosis Based on Optimal Morlet Wavelet Filter and Autocorrelation Enhancement

Original language description

An efficient condition monitoring system provides early warning of faults by predicting them at an early stage. When a localized fault occurs in gears, the vibration signals always exhibit non-stationary behavior. The periodic impulsive feature of the vibration signal appears in the time domain and the corresponding gear mesh frequency (GMF) emerges in the frequency domain. However, one limitation of frequency-domain analysis is its inability to handle non-stationary waveform signals, which are very common when machinery faults occur. Particularly at the early stage of gear failure, the GMF contains very little energy and is often overwhelmed by noise and higher-level macro-structural vibrations. An effective signal processing method would be necessary to remove such corrupting noise and interference. In this paper, a new hybrid method based on optimal Morlet wavelet filter and autocorrelation enhancement is presented. First, to eliminate the frequency associated with interferential vibrations, the vibration signal is filtered with a band-pass filter determined by a Morlet wavelet whose parameters are selected or optimized based on maximum Kurtosis. Then, to further reduce the residual in-band noise and highlight the periodic impulsive feature, an autocorrelation enhancement algorithm is applied to the filtered signal. The pitting defect is manufactured on the tooth side of a gear of the fifth speed on the secondary shaft. The gearbox used for experimental measurements is of the type most commonly used in modern small to mid-sized passenger cars. The results show the ability of the proposed method to enhance the capability of condition monitoring systems by identifying gear faults at early stages.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JT - Propulsion, engines and fuels

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.

Article name in the collection

SAE Technical Paper 2015-01-1718

ISBN

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ISSN

0148-7191

e-ISSN

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Number of pages

8

Pages from-to

1-8

Publisher name

SAE International

Place of publication

Warrendale, PA 15096

Event location

Detroit

Event date

Apr 21, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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