Weak fault diagnosis of rolling bearings under variable-speed condition based on weighted SVD and extreme point envelope

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Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (14) : 162-169.

ZHANG Zhou,ZHANG Hongli,MA Ping,WANG Cong

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Abstract

In view of the fact that the weak fault signal of rolling bearings under the conditions of strong background noise and time-varying rotating speed is difficult to be effectively detected, an improved singular value decomposition (SVD) method named Weighted SVD (WSVD) was proposed to separate the fault transient signal from strong noise.In the method, a factor of periodic modulation intensity (PMI) was introduced to weight the signal components with fault feature information in the original signal and obtain the reconstructed signal after signal-to-noise separation and feature enhancement.The extreme point envelope order tracking was applied to analyze the extreme point envelope of the reconstructed signal, and the weak fault of the rolling beraing was analyzed according to the order information in the envelope order spectrum.The simulation and experimental analysis results show that the proposed WSVD combinedly used with the extreme point envelope order tracking method can effectively show the weak fault characteristics and reliably detect the early fault feature and accurately diagnose the weak fault of rolling bearings under variable speed condition.

Key words

weighted singular value decomposition(WSVD) / periodic modulation intensity(PMI) / extreme point envelope order tracking / rolling bearing / weak fault diagnosis；variable-speed condition

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ZHANG Zhou,ZHANG Hongli,MA Ping,WANG Cong. Weak fault diagnosis of rolling bearings under variable-speed condition based on weighted SVD and extreme point envelope[J]. Journal of Vibration and Shock, 2021, 40(14): 162-169

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