Air gap eccentric analysis and fault detection of traction motor

Abstract

AbstractTo solve the problem of air gap eccentric fault of traction motor, the fault characteristic frequency is close to the fundamental frequency, and the decomposed frequency affects each other, which is easy to cause spectrum aliasing. A reconstruction of variational mode decomposition method is proposed (reconstructed variational mode decomposition, RVMD); first of all, to construct and solve the variational stator current signal problem, to find the best decomposition number, and to obtain multiple modal functions, and to realize the effective separation and frequency profile of each component of the signal. Then, the decomposed modal function components with different frequencies and different amplitude can keep the decomposed positions unchanged and be reconstructed to form a new frequency spectrum. Experimental results show that the proposed RVMD method can detect weak faults timely and effectively, and has good application value.