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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.11 No.4
- 발행연도
- 2016.7
- 수록면
- 951 - 960 (10page)
이용수
초록· 키워드
오류제보하기
Tower insulators in electric power transmission network play a crucial role in preserving the reliability of the system. Electrical utilities frequently face the problem of flashover of insulators due to pollution deposition on their surface. Several research works based on leakage current (LC) measurement has been already carried out in developing diagnostic techniques for these insulators. Since the LC signal is highly intermittent in nature, estimation of pollution severity based on LC signal measurement over a short period of time will not produce accurate results. Reports on the measurement and analysis of LC signals over a long period of time is scanty. This paper attempts to use Random Forest (RF) classifier, which produces accurate results on large data bases, to analyze the pollution severity of high voltage tower insulators. Leakage current characteristics over a long period of time were measured in the laboratory on porcelain insulator. Pollution experiments were conducted at 11 kV AC voltage. Time domain analysis and wavelet transform technique were used to extract both basic features and histogram features of the LC signal. RF model was trained and tested with a variety of LC signals measured over a lengthy period of time and it is noticed that the proposed RF model based pollution severity classifier is efficient and will be helpful to electrical utilities for real time implementation.
목차
Abstract
1. Introduction
2. Laboratory Experimental Setup
3. Discrete Wavelet Transform
4. Concept of Random Forest Algorithm
5. Results and Discussion
6. Conclusion
References
참고문헌 (22)
참고문헌 신청
[학술지(정기간행물)] - V. Jayaprakash Narayanan / 2014 / Prediction of Flashover and Pollution Severity of High Voltage Transmission Line Insulators Using Wavelet Transform and Fuzzy C-Means Approach / Journal of Electrical Engineering & Technology 9 (5) : 1677 ~ 1685
[학술지(정기간행물)] - L. H. Meyer / 2004 / Correlation of damage, dry band arcing energy, and temperature in inclined plane testing of silicone rubber for outdoor insulation / IEEE Trans. Dielectrics and Electr. Insul 11 (3) : 424 ~ 432
[학술지(정기간행물)] - S. H. Kim / 1992 / Hydrophobic behaviour of Insulators Coated with RTV Silicone Rubber / IEEE Trans. on Electr. Insul 27 (3) : 610 ~ 622
[학술지(정기간행물)] - A. Cavallini / 2007 / Inferring Ceramic Insulator Pollution by an innovative Approach Resorting to PD Detection / IEEE Trans. Dielectrics and Electr. Insul 14 (1) : 23 ~ 29
[학술지(정기간행물)] - V. Jayaprakash Narayanan / 2014 / Flashover Prediction of Polymeric Insulators Using PD Signal Time-Frequency Analysis and BPA Neural Network Technique / Journal of Electrical Engineering & Technology 9 (4) : 1375 ~ 1384
[학술지(정기간행물)] - L. H. Meyer / 2004 / Correlation of damage, dry band arcing energy, and temperature in inclined plane testing of silicone rubber for outdoor insulation / IEEE Trans. Dielectrics and Electr. Insul 11 (3) : 424 ~ 432
[학술지(정기간행물)] - S. H. Kim / 1992 / Hydrophobic behaviour of Insulators Coated with RTV Silicone Rubber / IEEE Trans. on Electr. Insul 27 (3) : 610 ~ 622
[학술지(정기간행물)] - A. Cavallini / 2007 / Inferring Ceramic Insulator Pollution by an innovative Approach Resorting to PD Detection / IEEE Trans. Dielectrics and Electr. Insul 14 (1) : 23 ~ 29
[학술지(정기간행물)] - V. Jayaprakash Narayanan / 2014 / Flashover Prediction of Polymeric Insulators Using PD Signal Time-Frequency Analysis and BPA Neural Network Technique / Journal of Electrical Engineering & Technology 9 (4) : 1375 ~ 1384
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