신경회로망과 Classifier를 이용한 부분방전패턴의 인식

• 영문명: Recognition of Partial Discharge Patterns using Classifiers and the Neural Network
• 발행기관: 호서대학교 공업기술연구소
• 저자명: 李 峻 吴 (June -Ho Lee) 李 鎮 雨(Chin -Woo Yi)
• 간행물 정보: 『공업기술연구 논문집』제18권 제1호, 15~23쪽, 전체 9쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 1999.06.30

영문 초록

In th is work, two approaches were proposed for the recognition of partial discharge patterns . The first approach was neural net work with back propagation a lgorithm , and the second approach was an glecalculation between two operator vectors. P D sig n a ls were detected using three electrode systems ； IE C ( b ) , needle-planeana C IG R E method II electrode system . Both of neural network and an gle com parison method show ed good recognition perform ance for the patterns similarto the train e d patterns . And the number of operators to be used had a great influence on the recognition perform ance to the untrained patterns .

목차

1. 서 론

2. 실험과 부분방전패턴

3. 특징량 추출

4. 신경회로망

5. 연산자백터를 이용한 패턴분류

6 결 론