Application of Optimal Morlet Wavelet Filter for Bearing Fault Diagnosis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00240256" target="_blank" >RIV/68407700:21220/15:00240256 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.4271/2015-01-2178" target="_blank" >http://dx.doi.org/10.4271/2015-01-2178</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4271/2015-01-2178" target="_blank" >10.4271/2015-01-2178</a>

Result language

angličtina

Original language name

Application of Optimal Morlet Wavelet Filter for Bearing Fault Diagnosis

Original language description

When localized fault occurs in a bearing, the periodic impulsive feature of the vibration signal appears in time domain and the corresponding Bearing Characteristic Frequencies (BCFs) emerge in frequency domain. The common technique of Fast Fourier Transforms (FFT) and Envelope Detection (ED) are always used to identify faults occurring at the BCFs. In the early stage of bearing failures, the BCFs contain very little energy and are often overwhelmed by noise and higher-level macro-structural vibrations. In order to extract the weak fault information submerged in strong background noise of the gearbox vibration signal, an effective signal processing method would be necessary to remove such corrupting noise and interference. Optimal Morlet Wavelet Filter and Envelope Detection (ED) are applied in this paper. 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 optimized based on the maximum Kurtosis value. Then, to further reduce the residual in-band noise and highlight the periodic impulsive feature, an envelope enhancement is applied to the filtered signal. The proposed and the common techniques are used respectively to analyze the experimental signal with inner race fault of rolling bearings. The test stand is equipped with two dynamometers; the input dynamometer serves as internal combustion engine, the output dynamometer introduce the load on the flange of output joint shaft. The Kurtosis and pulse indicator are chosen as the evaluation of the denoising effect. The results of comparative analysis have drawn that the proposed technique is more accurate and reliable than the common technique for the fault feature extraction. Especially, it is much easier to achieve early diagnosis for bearing failure.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JR - Other machinery industry

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.

Name of the periodical

SAE International Journal of passenger Cars – Mechanical Systems

ISSN

1946-3995

e-ISSN

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Volume of the periodical

8

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

7

Pages from-to

817-823

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-84954493752