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논문 기본 정보

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학위논문
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김동우 (홍익대학교, 홍익대학교 대학원)

지도교수
조성원
발행연도
2021
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홍익대학교 논문은 저작권에 의해 보호받습니다.

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이 논문의 연구 히스토리 (4)

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본 논문에서는 다기준 의사결정 분석법의 하나인 AHP 분석기법을 활용하여 22.9kV급 특고압 수전설비 안전등급 평가모델의 가중치를 도출하고, 이를 기반으로 인공신경망 기반 특고압 전기설비 안전등급 평가모델을 설계 및 구현하였다. 본 논문에서 제시한 분석 및 개발 내용은 다음과 같다.
첫 번째로 다기준 의사결정 분석법의 정의, 종류 및 특징을 분석하였다. 두 번째로 다기준 의사결정 분석법의 하나인 AHP기법을 적용하여 활용하기 위한 이론적 근거, 심리학적 배경, 쌍대비교 행렬 작성 방법, 평가요소의 가중치를 정량화하여 도출하는 방법, 전문가의 의견을 하나로 취합하는 방법, 일부 비교에 의한 가중치 도출 방법 등을 제시하였다. 세 번째로 22.9kV급 특고압 수전설비의 안전등급 평가모델의 구조를 설계하였으며, 설계된 안전등급 기준안의 평가요소 가중치는 AHP기법을 적용하여 도출하였다. AHP기법을 적용한 가중치 도출시 기존의 전부비교법이 아닌 일부 비교법을 사용하였으며, 도출결과를 Harker의 불완전 쌍대비교법과 Forman의 수정된 RI계산법을 적용하여 검증하였다. 네 번째로 AHP기반으로 도출된 특고압 전기설비 안전등급 평가시스템을 인공신경망으로 설계하였으며, 설계된 모델에 대하여 오차역전파 알고리즘과 일반 델타 규칙으로 학습을 수행하여 전기설비 안전도 학습 결과를 분석하였다.
개발된 특고압 전기설비 안전등급 평가시스템은 현장과 유사한 데이터로 시뮬레이션 한 결과 특고압 전기설비의 진단 등에 활용이 가능하며, 인공신경망 기반으로 구현된 안전등급 평가시스템은 AHP기반으로 도출된 모델을 보완하여 전기설비 안전등급 평가에 활용될 수 있을 것으로 판단된다.

목차

1장 서론·················································································· 1
1.1 연구배경 및 필요성··························································· 1
1.2 선행연구 동향·································································· 3
1.3 연구방법 및 구성 ····························································· 5
2장 다기준 의사결정 분석법 ····················································· 7
2.1 개요················································································ 7
2.2 다기준 의사결정 분석법의 종류 및 특징······························ 9
2.3 결언 ·············································································· 14
3장 AHP기법에 의한 평가항목의 정량화··································· 15
3.1 개요 ·············································································· 15
3.2 AHP의 기본 구조 ··························································· 16
3.3 우선순위 및 가중치 도출방법 ·········································· 19
3.4 전문가 의견 취합 방법 ···················································· 40
3.5 일부 비교에 의한 가중치 도출 방법 ·································· 42
3.6 결언 ·············································································· 47
4장 특고압 전기설비의 안전등급 평가······································· 49
4.1 개요··············································································· 49
4.2 특고압 전기설비 안전등급 평가기준안의 구조···················· 50
4.3 평가요소의 가중치 도출을 위한 방법································· 73
4.4 특고압전기설비 안전등급 평가기준안의 가중치 도출결과···· 78
4.5 결언··············································································· 89
5장 인공신경망 기반 안전등급 평가모델···································· 91
5.1 개요 ·············································································· 91
5.2 인공신경망 기반 학습을 위한 데이터 도출 ························ 93
5.3 인공신경망의 구조, 학습방법 및 결과······························· 123
5.4 결언 ············································································· 139
6장 결론················································································ 141
참고 문헌 ·············································································· 145
부 록 ···················································································· 150
ABSTRACT ·········································································· 176

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