A FEATURE EXTRACTION METHOD OF ROTOR FAULTS OF INDUCTION MOTOR BASED ON CONTINUOUS WAVELET TRANSFORM AND SINGULAR VALUE DECOMPOSITION

作者：Mao Li · 发表于：Proceedings of the CSEE · 年份：2005 · 被引用次数：7 · 研究领域：Machine Fault Diagnosis Techniques、Engineering Diagnostics and Reliability、Advanced Measurement and Detection Methods

As it is always submerged by the supply frequency component in current signal, the rotor fault feature component is difficultly detected. A novel feature extraction method of rotor faults based on continuous wavelet transform (CWT) and singular value decomposition (SVD) is proposed. The current signal which consists of the supply frequency component and the rotor fault feature components is transformed into the time-frequency space by CWT, and the time-frequency information is decomposed to a series of orthogonal sub-spaces by SVD, which include different feature components. With the reconstruction of the sub-spaces selected, the rotor fault feature components are extracted effectively. Experimental results and industrial measurement analysis show that the approach provides a more effective means to diagnose rotor faults.