Application of fast independent component analysis in fault detection of induction motors
Publication Type
Journal Article
Publication Date
8-2009
Abstract
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.
Keywords
FastICA, Fault diagnosis, Feature extraction
Discipline
Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Intelligent Systems and Optimization
Publication
Journal of Tianjin Polytechnic University
Volume
28
Issue
4
First Page
64
Last Page
67
ISSN
1671-024X
Publisher
Tianjin Polytechnic University
Citation
1
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