Title :
Electric fault detection for vector-controlled induction motors using the discrete wavelet transform
Author :
Chen, Chao-Ming ; Loparo, Kenneth A.
Author_Institution :
Dept. of Syst. & Control Eng., Case Western Reserve Univ., Cleveland, OH, USA
Abstract :
Focuses on the detection of electrical faults in vector-controlled induction motor systems. Systems controlled by a robust mechanism, such as vector control, have an increased ability to adapt to changes in system parameters and reject disturbances. Therefore, if there are faults in the system they may be difficult to detect. The controller tends to compensate for the faults and minimize their impact on the system outputs. A fault detection algorithm based on the discrete wavelet transform is developed. The algorithm computes a “fault index” for stator winding faults such that fault signature and the fault degree can be determined in a clear manner
Keywords :
digital simulation; electric machine analysis computing; electrical faults; fault diagnosis; induction motors; stators; wavelet transforms; discrete wavelet transform; disturbances rejection; electric fault detection; fault degree; fault index; fault signature; robust mechanism; stator winding faults; vector-controlled induction motors; Control systems; Discrete wavelet transforms; Electrical fault detection; Frequency; Inductance; Induction motors; Machine vector control; Signal processing algorithms; Stator windings; Voltage;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703184