Fault diagnosis way based on CLEAN algorithms in Squirrel Cage Induction Motors

Among the methods of fault diagnosis based on the current analysis for Squirrel Cage Induction Motors (SCIM), the fault characteristic components are often submerged by fundamental component and noises, especially for the broken rotor bars. The CLEAN algorithm is a kind of relaxant data processing algorithms for additive noises and system errors. A new approach based on CLEAN algorithms for fault diagnosis and monitoring in SCIM is proposed in this paper. the CLEAN algorithm is used to extract the characteristic components for the fundamental one of power, and estimates the discrete-time spectrum parameter of particular fault from the continuous spectrum of the noise and mixed waves, which can eliminate the effective of power and noise and highlight the fault characteristic components. At last experimental results have demonstrated the effectiveness and advantage of the proposed technique.