| Title |
Aging Diagnosis of Model Coil of HV Induction Motor Using HFPD and Neural Networks |
| Authors |
김덕근(Kim, Deok-Geun) ; 임장섭(Im, Jang-Seop) ; 여인선(Yeo, In-Seon) |
| Keywords |
HFPD ; Fractal ; Deterioration diagnosis ; Neural network |
| Abstract |
Many failures in high voltage equipment are preceded by partial discharge activity. In this paper deals with the application of the high frequency partial discharge measurement technique in motorette. HFPD measurement is very effective method to detect the PD occurred in motorette which is the called name of test specimen for accelerating test of stator winding[1] In this study, CT type HFPD sensor is used to detect the partial discharges and a measured HFPD pattern is analyzed by fractal mathematics. The neural network algorithm is used to pattern recognition and ageing diagnosis. As a result of this study, the fractal dimensions are increased along to applied voltage and HFPD pattern recognition using neural network shown excellent recognition rate. Also, the ageing diagnosis of motorette has been Possible. |