Electrical & Electronic Materials (E2M - 전기 전자와 첨단 소재)
- Volume 11 Issue 11
- /
- Pages.1-8
- /
- 1998
- /
- 2982-6268(pISSN)
- /
- 2982-6306(eISSN)
Development of an Adaptive Neuro-Fuzzy Techniques based PD-Model for the Insulation Condition Monitoring and Diagnosis
- Kim, Y.J. (Chungju National University) ;
- Lim, J.S. (Mokpo Maritime University) ;
- Park, D.H. (Wonkwang University) ;
- Cho, K.B. (Hanso University)
- Published : 1998.11.01
Abstract
This paper presents an arificial neuro-fuzzy technique based prtial discharge (PD) pattern classifier to power system application. This may require a complicated analysis method employ -ing an experts system due to very complex progressing discharge form under exter-nal stress. After referring briefly to the developments of artificical neural network based PD measurements, the paper outlines how the introduction of new emerging technology has resulted in the design of a number of PD diagnostic systems for practical applicaton of residual lifetime prediction. The appropriate PD data base structure and selection of learning data size of PD pattern based on fractal dimentsional and 3-D PD-normalization, extraction of relevant characteristic fea-ture of PD recognition are discussed. Some practical aspects encountered with unknown stress in the neuro-fuzzy techniques based real time PD recognition are also addressed.
Keywords
- Pattern Recognition;
- Adaptive System;
- Learning System;
- Neural Network;
- Fuzzy Logic;
- Frac-tal Dimension;
- Chaotic PD Pattern Classification;
- Dia-gnostic Life Assessment;
- Incipient Fault Detector;
- Power Equipment and Power System