An early composite fault feature extraction method of bearing based&nbsp; on square envelope spectrum negentropy criterion

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (8) : 179-187.

An early composite fault feature extraction method of bearing based on square envelope spectrum negentropy criterion

CHEN Peng1,ZHAO Xiaoqiang1,2,3

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Abstract

In view of the problem that it is difficult to extract the early composite fault feature in fault diagnosis of bearing. An optimized Swarm decomposition (OSWD) method based on the criterion of square envelope spectrum negentropy is proposed. Firstly, an optimization criterion based on square envelope spectrum negentropy is constructed and the improved grasshopper optimization algorithm (IGOA) is used to optimize the threshold parameters of the Swarm decomposition (SWD) to obtain optimal threshold. Then the adaptive decomposition of the composite fault vibration signals is realized by using OSWD. The decomposed components are analyzed by using envelope spectrum analysis to extract the fault feature frequencies. So the early composite fault diagnosis of bearing is accurately realized. Finally, the effectiveness of the proposed method is verified by the simulation analysis case and the fact engineering case.

Key words

bearing / square envelope spectrum negentropy / grasshopper optimization algorithm / swarm decomposition / fault diagnosis

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CHEN Peng1,ZHAO Xiaoqiang1,2,3. An early composite fault feature extraction method of bearing based on square envelope spectrum negentropy criterion[J]. Journal of Vibration and Shock, 2022, 41(8): 179-187

References

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