2009Journal of Shijiazhuang Institute of Railway TechnologyRequires access

Exploration of Fault Diagnosis of Rolling Bearing Based on Wavelet Envelope Analysis

Zhao Yu-ju

Open publisher page 0 citations

Abstract

The fault vibration signals of bearing are usually non-stationary.Therefore,the conventional method such as fourier transform for signal processing becomes inappropriate and has no better results.But the wavelet analysis can process signal in time and frequency domain and is very suitable to fault diagnosis of bearing.According to the theory of rolling bearing fault diagnosis,the characteristics of rolling bearing failure was successfully extracted by using wavelet packet analysis and envelope analysis,and then the vibration signal of rolling bearing was analyzed.The results show that the wavelet envelope technique can effectively extract the signal of rolling bearing failure.

About this research paper

What this paper is about

The fault vibration signals of bearing are usually non-stationary.Therefore,the conventional method such as fourier transform for signal processing becomes inappropriate and has no better results.But the wavelet analysis can process signal in time and frequency domain and is very suitable to fault diagnosis of bearing.According to the theory of rolling bearing fault diagnosis,the characteristics of rolling bearing failure was successfully extracted by using wavelet packet analysis and envelope analysis,and then the vibration signal of rolling bearing was analyzed.The results show that the wavelet envelope technique can effectively extract the signal of rolling bearing failure.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The fault vibration signals of bearing are usually non-stationary.Therefore,the conventional method such as fourier transform for signal processing becomes inappropriate and has no better results.But the wavelet analysis can process signal in time and frequency domain and is very suitable to fault diagnosis of bearing.According to the theory of rolling bearing fault diagnosis,the characteristics of rolling bearing failure was successfully extracted by using wavelet packet analysis and envelope analysis,and then the vibration signal of rolling bearing was analyzed.The results show that the wavelet envelope technique can effectively extract the signal of rolling bearing failure.

Key concepts: Bearing (navigation), Envelope (radar), Wavelet, Fault (geology), SIGNAL (programming language), Vibration, Frequency domain, Signal processing

Related papers

Back to paper searchBrowse research topicsOriginal source
Exploration of Fault Diagnosis of Rolling Bearing Based on Wavelet Envelope Analysis — Research Paper | ScholarLens