Research on Mechanical Fault Diagnosis Method Based on Variational Mode Decomposition

doi:10.3969/j.issn.1000-1093.2017.03.024

Abstract

Abstract: Variational mode decomposition (VMD) is a new adaptive signal decomposition method. The idea of this method is that most of each mode is assumed to be tightly around a center frequency, the solving problem of mode bandwidth is converted into an optimization problem with the constrain conditions, and finally each modal is solved. VMD is introduced into the mechanical fault diagnosis, and a fault diagnosis method based on VMD is proposed. The proposed method is compared with the ensemble empirical mode decomposition (EEMD). The simulated result shows VMD method is superior to EEMD method, the intrinsic mode of signal can be effectively decomposed by the VMD method. Compared with the EEMD method, the proposed method has some distinct advantages, such as weak mode mixing phenomenon, high calculation efficiency and sufficient theory. The proposed method has been successfully applied to the rub-impact fault diagnosis of rotor system. The experimental results show that the proposed method is effective, and can effectively reveal the frequency structure in rubbing fault and discern the severity of rub-impact fault. Key

Key words: mechanics, variationalmodedecomposition, faultdiagnosis, ensembleempiricalmodedecomposition, rotorrubbing

CLC Number:

TH165⁺.3

LI Zhi-nong, ZHU Ming. Research on Mechanical Fault Diagnosis Method Based on Variational Mode Decomposition[J]. Acta Armamentarii, 2017, 38(3): 593-599.

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第38卷
第3期2017 年3月兵工学报ACTA
ARMAMENTARIIVol.38No.3Mar.2017

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