표제지
목차
List of Terms and Abbreviations 8
Abstract 9
I. 서론 11
1-1. 연구배경 및 목적 11
1-2. 연구내용 12
II. DGA의 표준 관리기준 분석 13
2-1. IEEE C57.104 규격의 DGA 관리기준 15
2-2. IEC 60599 규격의 DGA 관리기준 18
2-3. 일본전기협동연구 규격의 DGA 관리기준 22
2-4. 한국전력공사(KEPCO) 규격의 DGA 관리기준 24
III. 변압기 고장모드 예측을 위한 DB 구축 27
3-1. IEC TC 10 데이터베이스 29
3-2. 고장 변압기 데이터에서 FMEA 분류 36
3-3. 내부점검 데이터에서 DMEA 분류 39
IV. 결과 및 고찰 42
4-1. 국내 변압기 및 DGA 현황 42
4-2. DGA 데이터 통계적 분석 44
4-3. 인공신경망 이용한 고장유형 예측 시스템 57
V. 결론 69
참고문헌 71
초록 75
Table 2-1. Dissolved gas criterion of transformer 14
Table 2-2. Dissolved gas concentration 16
Table 2-3. Doernenburg Ratio method Failure type criteria 16
Table 2-4. Range of 90% typical gas concentration value 20
Table 2-5. DGA Interpretation table according to characteristic fault 20
Table 2-6. DGA criterion in Japan 23
Table 2-7. DGA criterion of operation transformer 26
Table 3-2. IEC TC 10 databases equipment type 30
Table 3-3. IEC TC 10 databases(PD) 30
Table 3-4. IEC TC 10 databases(D1) 31
Table 3-5. IEC TC 10 databases(D2) 32
Table 3-6. IEC TC 10 databases(T1, T2) 34
Table 3-7. IEC TC 10 databases(T3) 35
Table 3-8. Classification of FMEA's in failure data 37
Table 3-9. Status of fault location according to failure data 38
Table 3-10. Classification of DMEA in Internal inspection data 40
Table 4-1. Median rank probability of gas production(before 2007) 45
Table 4-2. Median rank probability of gas production(After 2008) 45
Table 4-3. ANN data group 60
Table 4-4. Neural networks results in failure data 68
Fig. 2-1. Fault type judgment by 「Key Gas Method」 17
Fig. 2-2. 「Rogers Ratio Method」 fault type 17
Fig. 2-3. DGA Interpretation Table 21
Fig. 2-4. Duval's Triangle Visualization 21
Fig. 3-1. DGA data classification 28
Fig. 3-2. Component of transformer 28
Fig. 4-1. Cumulative numbers of transformers and DGA data 43
Fig. 4-2. Number of transformers over 25 years... 43
Fig. 4-3. FMEA H₂ gas and Cumulative defect distribution 47
Fig. 4-4. FMEA C₂H₂ gas and Cumulative defect distribution 47
Fig. 4-5. FMEA C₂H₄ gas and Cumulative defect distribution 48
Fig. 4-6. FMEA C2H6 gas and Cumulative defect distribution(이미지참조) 48
Fig. 4-7. FMEA CH₄ gas and Cumulative defect distribution 49
Fig. 4-8. FMEA CO gas and Cumulative defect distribution 49
Fig. 4-9. DMEA H₂ gas and Culmuative defect distribution 50
Fig. 4-10. DMEA C₂H₂ gas and Cumulative defect distribution 50
Fig. 4-11. DMEA C₂H₄ gas and Cumulative defect distribution 51
Fig. 4-12. DMEA C2H6 gas and Cumulative defect distribution(이미지참조) 51
Fig. 4-13. DMEA CH₄ gas and Cumulative defect distribution 52
Fig. 4-14. DMEA CO gas and Cumulative defect distribution 52
Fig. 4-15. CDF according to FMEA, DMEA and TC10... 54
Fig. 4-16. CDF according to FMEA, DMEA and TC10... 54
Fig. 4-17. CDF according to FMEA, DMEA and TC10... 55
Fig. 4-18. CDF according to FMEA, DMEA and TC10... 55
Fig. 4-19. CDF according to FMEA, DMEA and TC10... 56
Fig. 4-20. Boxchart of FMEA, DMEA and TC-10 gas 56
Fig. 4-21. Artificial nueural network structure 57
Fig. 4-22. Intelligent fault diagnosis configuration diagram 60
Fig. 4-23. Neural networks results in failure data 65
Fig. 4-24. Neural networks results in defect data 67
Fig. 4-25. FMEA and DMEA Optimization Model... 68