2003Journal of Naval University of EngineeringRequires access

Application of wavelet transform to vibration signal analysis of rolling bearing

Ming Ting

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Abstract

An accurate fault diagnosis method of rolling bearing based on wavelet packet decomposition and signal reconstruction techniques is presented by analysing the characteristics of fault signals, such as rolling bearing surface damage. Experiment results prove the efficiency of the method and show that it is suitable for monitoring and diagnosis of the early fault in rolling bearing.

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What this paper is about

An accurate fault diagnosis method of rolling bearing based on wavelet packet decomposition and signal reconstruction techniques is presented by analysing the characteristics of fault signals, such as rolling bearing surface damage. Experiment results prove the efficiency of the method and show that it is suitable for monitoring and diagnosis of the early fault in rolling bearing.

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Available abstract

An accurate fault diagnosis method of rolling bearing based on wavelet packet decomposition and signal reconstruction techniques is presented by analysing the characteristics of fault signals, such as rolling bearing surface damage. Experiment results prove the efficiency of the method and show that it is suitable for monitoring and diagnosis of the early fault in rolling bearing.

Key concepts: Bearing (navigation), Fault (geology), Wavelet, SIGNAL (programming language), Vibration, Wavelet packet decomposition, Signal processing, Wavelet transform

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