Improved wavelet analysis for induction motors mixed-fault diagnosis

Abstract

Eccentricity is one of the frequent faults of induction motors, and it may cause rub between the rotor and the stator. Early detection of significant rub from pure eccentricity can prolong the lifespan of induction motors. This paper is devoted to such mixed-fault diagnosis: eccentricity plus rub fault. The continuous wavelet transform (CWT) is employed to analyze vibration signals obtained from the motor body. An improved continuous wavelet transform was proposed to alleviate the frequency aliasing. Experimental results show that the proposed method can effectively distinguish two types of faults, single-fault of eccentricity and mixed-fault of eccentricity plus rub.

Keywords

induction motor, eccentricity, rub fault, mixed-fault, CWT, frequency aliasing