| Title |
A Study on Power Quality Diagnosis System using Neural NetWorks |
| Authors |
김진수(Kim, Jin-Su) ; 김영일(Kim, Young-Il) ; 김광순(Kim, Kwang-Soon) ; 박기주(Park, Gi-Ju) |
| Keywords |
Power Quality ; Wavelet ; Neural Network ; Labview |
| Abstract |
In this paper, we have studied the power quality(PQ) diagnosis system with the two methods for PQ diagnosis. One to Apply a regulation value in compliance with mathematics calculation, and the other Automatic identification using Neural network algorithm. Neural network algorithm is used for an automatic diagnosis of the PQ. The regulation proposed by IEEE 1159 Working group is applied for the precision of the diagnosis. In order to divide accurate segmentation, the algorithm for a computer training used the back propagation out of several neural network algorithms. We have configured the proto-type sample by using Labview and a programmed Neural Networks Algorithm using with C. And arbitrary electric Signal generated by OMICRON Company's CMC 256-6 for an efficiency test. |