A Novel Approach of Multiscale Feature Extraction for Gearbox Condition Monitoring

Wei Guo Huang; Zhong Kui Zhu; Cheng Li; Peng Li

doi:10.4028/www.scientific.net/AMM.160.25

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 160A Novel Approach of Multiscale Feature Extraction...

A Novel Approach of Multiscale Feature Extraction for Gearbox Condition Monitoring

Abstract:

This paper proposes a novel multiscale slope feature extraction method using wavelet-based multiresolution anlaysis for gearboxes fault identification. The new method mainly includes the discrete wavelet transform (DWT), the variances calculation of multiscale detailed signals, and the wavelet-based multiscale slope features estimation. Experimental results show that the wavelet-based multiscale slope features show excellent clustering for different work conditions and have the merits of high accuracy and stability in classifying different conditions of gearbox.

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Periodical:

Applied Mechanics and Materials (Volume 160)

Pages:

25-29

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.160.25

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Online since:

March 2012

Authors:

Wei Guo Huang, Zhong Kui Zhu, Cheng Li, Peng Li

Keywords:

Discrete Wavelet Transform (DWT), Fault Diagnosis, Gearbox, Multiscale Feature

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