Application of fast independent component analysis in fault detection of induction motors
Weihe Xu, Fengqi Hao, Hao Qiu, N. N. Li, Tong Yang, Zhaoxia Wang · Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · 2009
The stator currents of AC induction motors are measured and the stator currents obtained from normal motors and faulty motors are analyzed and compared. The technique of fast independent component analysis (Fast ICA) is used for extracting the dominating features from the measured signals to diagnose the fault of induction motors. The experimental results demonstrate that FastICA method can be well applicable for detecting fault of induction motors.