Compound fault diagnosis method for rolling bearings based on the improved symplectic period mode decomposition

LIU Min1, CHENG Junsheng1, 2, XIE Xiaoping1, 2, WU Zhantao1

Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (14) : 47-56.

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PDF(3219 KB)
Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (14) : 47-56.

Compound fault diagnosis method for rolling bearings based on the improved symplectic period mode decomposition

  • LIU Min1,CHENG Junsheng1,2,XIE Xiaoping1,2,WU Zhantao1
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Abstract

The symplectic period mode decomposition (SPMD) method can accurately extract the periodic pulse components, which was an effective method for single fault diagnosis of rolling bearings. However, in the case of composite faults in rolling bearings, especially under strong background noise, the periodic pulse signals are often weak, which makes it difficult for SPMD to extract the pulse components with different periods, thus limiting its application in the diagnosis of composite faults. An improved symplectic period mode decomposition (ISPMD) method was proposed to deal with this regard. The method firstly adopts the combination of the SOSO enhancement technique and minimum noise amplitude deconvolution (SOSO-MNAD) method to reduce the noise of the signal and enhance the period pulse to accurately estimate the fault period. Then, the periodic segment matrix (PSM) was constructed and the symplectic geometry period component was obtained by the symplectic geometry similarity transformation and the periodic impact intensity. Finally, the residual signal was decomposed by iteration and the symplectic geometry period components of different periods were obtained. The experimental results show that ISPMD can accurately extract the periodic impulse components, which is an effective method for composite fault diagnosis of rolling bearings.

Key words

improved symplectic period mode decomposition / SOSO-MNAD / rolling bearing / compound fault diagnosis

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LIU Min1, CHENG Junsheng1, 2, XIE Xiaoping1, 2, WU Zhantao1. Compound fault diagnosis method for rolling bearings based on the improved symplectic period mode decomposition[J]. Journal of Vibration and Shock, 2024, 43(14): 47-56

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