인공신경망을 이용한 수변전설비의 예방보전을 위한 고장 조기 감지시스템에 관한 연구

다국어 초록 (Multilingual Abstract)

The modern society longing for the convenience of up-to-date technology, there are attempts of miniaturization and high reliance of power equipments in the effectiveness aspect of urban area’s usage of space while requiring more electrical energy than now. Consequently, paper used to the Neral Network for a forcasting conservation system. A neral network is powerful asta modeling tool that is able to capture and represent complex input/output relationships. The true power and advantage of neral networks lies in their ability to learn these relationships directly from the data being modeled. Traditional linear models are simply inadequate when it comes to modeling data that contains non-linear characteristics. Form results of this study, the Neral Network is will play an important role for insulation diagnosis system of real site GIS and power eqipment using SF? gas.

목차 (Table of Contents)

• 〈Abstract〉
• 1. 서론
• 2. 실험장치 및 방법
• 3. 실험 결과 및 고찰
• 4. 신경망을 이용한 부분방전 모델링
• 5. 결론
• 참고문헌