2011Unpublished venueRequires access

Bearing fault diagnosis based on time scale spectrum of continuous wavelet transform

Hui Li

Open publisher page 9 citations

Abstract

A new approach to bearing localized fault diagnosis based on time scale spectrum of continuous Morlet wavelet transform technique is presented. The continuous wavelet transform enables one to look at the evolution in the time scale joint representation plane. This advantage makes it very suitable for the detection of singularity generated by localized defects in mechanical system. The theoretical background of complex Morlet continuous wavelet is introduced in detail. The experimental results show that time scale spectrum of continuous Morlet wavelet transform can effectively detect and diagnose the bearing fault.

About this research paper

What this paper is about

A new approach to bearing localized fault diagnosis based on time scale spectrum of continuous Morlet wavelet transform technique is presented. The continuous wavelet transform enables one to look at the evolution in the time scale joint representation plane. This advantage makes it very suitable for the detection of singularity generated by localized defects in mechanical system. The theoretical background of complex Morlet continuous wavelet is introduced in detail. The experimental results show that time scale spectrum of continuous Morlet wavelet transform can effectively detect and diagnose the bearing fault.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A new approach to bearing localized fault diagnosis based on time scale spectrum of continuous Morlet wavelet transform technique is presented. The continuous wavelet transform enables one to look at the evolution in the time scale joint representation plane. This advantage makes it very suitable for the detection of singularity generated by localized defects in mechanical system. The theoretical background of complex Morlet continuous wavelet is introduced in detail. The experimental results show that time scale spectrum of continuous Morlet wavelet transform can effectively detect and diagnose the bearing fault.

Key concepts: Morlet wavelet, Continuous wavelet transform, Wavelet transform, Wavelet, Constant Q transform, Harmonic wavelet transform, Wavelet packet decomposition, Discrete wavelet transform

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