single-jc.php

JACIII Vol.4 No.5 pp. 368-372
doi: 10.20965/jaciii.2000.p0368
(2000)

Paper:

Design of Diagnosis System for Insulation Degradation by Using Neurofuzzy Model

Yigon Kim, Yang Hee Jung and Yong Chul Bae

Department of Electrical and Semiconductor Engineering, Yosu National. University, Korea

Received:
August 18, 2000
Accepted:
October 1, 2000
Published:
September 20, 2000
Keywords:
Neuro fuzzy model, Insulation diagnosis, Partial discharge, Motor diagnosis
Abstract

Insulation aging diagnosis provides early warning of electrical equipment defects that helps avoid loss from unexpected production line shutdown. Since relations of insulation aging and partial discharge dynamics are nonlinear, it is very difficult to provide early warning in electrical equipment. This paper suggests a new method for diagnosing insulation aging that measures partial discharge on-line from DAS(Data Acquisition System) and acquires 2D patterns from analyzing it using wavelets. Using this data, design of a neurofuzzy model that diagnoses electrical equipment is investigated. Validity of the new method is confirmed by numerical simulation.

Cite this article as:
Yigon Kim, Yang Hee Jung, and Yong Chul Bae, “Design of Diagnosis System for Insulation Degradation by Using Neurofuzzy Model,” J. Adv. Comput. Intell. Intell. Inform., Vol.4, No.5, pp. 368-372, 2000.
Data files:

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Sep. 14, 2021