The Motor Rotor Fault Diagnosis Method Based on Linear Mixing Blind Separation Model

Abstract:

The detection precision of fault diagnosis based on frequency spectral analysis of stator current is easily restricted by noise jamming and frequency resolution. A fault diagnosis method for induction motor based on linear mixing model is proposed to resolve this problem. The fault characteristic signals are separated from the motor stator current by Fast-ICA algorithm and its amplitude is calculated according to the estimated mixing matrix. The fault diagnosis is achieved by difference of the amplitude on the normal state and the fault state of the motor. In this paper, the fault diagnosis of the broken rotor bars faults is used as an example to explain the conclusion as mentioned. Experiment result shows that the broken-rotor-bar fault can be diagnosed by the algorithm with better effect on the condition of short data block.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 2420-2425
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.2420
• Online since: August 2014
• Authors: Xin Guo Hou*, Fan Bu
• Keywords: Blind Separation, Broken Rotor Bar, Fault Diagnosis, Motor, Stator Current

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