Title :
Fault detection using ANN for four switch Three Phase Inverter fed induction motor drive
Author :
Lee, Hong Hee ; Dzung, Phan Quoc ; Phuoc Hoa, Truong Phuoc ; Phuong, Le Minh ; Bac, Nguyen Xuan
Author_Institution :
Sch. of Electr. Eng., Univ. of Ulsan, Ulsan
Abstract :
This paper is to present the technique for fault detection for four-switch three-phase inverter fed induction motor drive. The proposed method requires only motor currents and DC-link current to be measured for detecting and identifying the power switch in which the open circuit fault or short circuit fault has occurred. Furthermore, a diagnosis controller using ANN for real-time fault detection of power switches is suggested. A computer simulation program is developed using Matlab/Simulink together with the neural network toolbox for training the ANN-controller. This method has been validated experimentally using kit ACE 1104 (DSPACE).
Keywords :
electric current measurement; fault location; induction motor drives; machine control; neurocontrollers; short-circuit currents; ANN; ANN-controller; DC-link current measurement; Matlab/Simulink; computer simulation program; fault detection; four switch three phase inverter fed induction motor drive; kit ACE 1104; neural network toolbox; power switch; short circuit fault; Artificial neural networks; Circuit faults; Current measurement; Electrical fault detection; Fault detection; Fault diagnosis; Induction motor drives; Inverters; Power measurement; Switches;
Conference_Titel :
Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1887-9
Electronic_ISBN :
978-1-4244-1888-6
DOI :
10.1109/ICSET.2008.4747196