To solve the problem that the fault features of rolling element bearings are periodic but weak which usually are submerged in strong background noise, a fault diagnosis method based on the second order total variation denoising and modulation signal bispectrum was proposed.Firstly, TVD was applied to original vibration signal while the correlation kurtosis based on envelope spectrum was used as an index to select the optimal parameter λ.Then, the MSB was used to analyze the filtered signal to further suppress the interference of noise, the compound slice spectrum was composed by five selected slices based on index p.Finally, by analyzing the compound slice, the type of bearing fault was determined.The proposed method was applied in simulated and experimental fault signals of rolling element bearings.The results show that the method can reduce the effect of noise to realize accurate diagnosis of bearings’ faults.
Key words
rolling element bearing /
fault diagnosis /
total variation denoising /
modulation signal bispectrum
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