Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference (한국조명전기설비학회:학술대회논문집)
- 1999.11a
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- Pages.132-135
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- 1999
Recognition of Partial Discharge Patterns using Classifiers and the Neural Network
신경회로망과 Classifier를 이용한 부분방전패턴의 인식
Abstract
In this work, two approaches were proposed for the recognition of partial discharge patterns. The first approach was neural network with backpropagation algorithm, and the second approach was angle calculation between two operator vectors. PD signal were detected using three electrode systems; IEC(b), needle-plane and CIGRE method II electrode system. Both of neural network and angle comparison method showed good recognition performance for the patte군 similar to the trained patterns. And the number of operators to be used had a great influence on the recognition performance to the untrained patterns.
Keywords