Exploration of Fault Diagnosis of Rolling Bearing Based on Wavelet Envelope Analysis
Zhao Yu-ju
Abstract
Zhao Yu-ju
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.
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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