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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.9 No.1
- 발행연도
- 2014.1
- 수록면
- 293 - 300 (8page)
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초록· 키워드
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This paper proposes a novel pattern recognition approach based on the radial basis function (RBF) neural network for identifying insulation defects of high-voltage electrical apparatus arising from partial discharge (PD). Pattern recognition of PD is used for identifying defects causing the PD, such as internal discharge, external discharge, corona, etc. This information is vital for estimating the harmfulness of the discharge in the insulation. Since an insulation defect, such as one resulting from PD, would have a corresponding particular pattern, pattern recognition of PD is significant means to discriminate insulation conditions of high-voltage electrical apparatus. To verify the proposed approach, experiments were conducted to demonstrate the field-test PD pattern recognition of cast resin current transformer (CRCT) models. These tests used artificial defects created in order to produce the common PD activities of CRCTs by using feature vectors of field-test PD patterns. The significant features are extracted by using nonlinear principal component analysis (NLPCA) method. The experimental data are found to be in close agreement with the recognized data. The test results show that the proposed approach is efficient and reliable.
목차
Abstract
1. Introduction
2. PD Patterns Database Creation
3. Statistical Feature Extraction
4. NLPCA Based Feature Extraction Scheme
5. RBF Neural Network Based PD Pattern Recognition Approach
6. Experiment Results
7. Conclusion
References
참고문헌 (14)
참고문헌 신청
1. [학술지(정기간행물)] - J. Y. Jeong / 2009 / Assessment of 23㎸ Capacitive Coupler for On-line Partial Discharge Measurements / Journal of Electrical Engineering & Technology 4 (1) : 123 ~ 129
2. [학술지(정기간행물)] - A. Rodrigo / 2012 / Study of Partial Discharge Charge Evaluation and the Associated Uncertainty by Means of High Frequency Current Transformers / IEEE Trans. Dielectrics and Electrical Insulation 19 (2) : 434 ~ 442
3. [학술대회논문] - M. Oskuoee / 2012 / A New Feature Extraction and Pattern Recognition of Partial Discharge in Solid Material by Neural Network / Proceedings of the Eighth International Conference on Natural Computation
4. [학술지(정기간행물)] - J. Tang / 2012 / Partial Discharge Recognition Through an Analysis of SF6 Decomposition Products Part 2 : Feature Extraction and Decision Tree-Based Pattern Recognition / IEEE Trans. Dielectrics and Electrical Insulation 19 (1) : 37 ~ 44
5. [학술지(정기간행물)] - W. Y. Chang / 2008 / Application of Self Organizing Map Approach to Partial Discharge Pattern Recognition of Cast-Resin Current Transformers / WSEAS Trans. Computer Research 3 (3) : 142 ~ 151
2. [학술지(정기간행물)] - A. Rodrigo / 2012 / Study of Partial Discharge Charge Evaluation and the Associated Uncertainty by Means of High Frequency Current Transformers / IEEE Trans. Dielectrics and Electrical Insulation 19 (2) : 434 ~ 442
3. [학술대회논문] - M. Oskuoee / 2012 / A New Feature Extraction and Pattern Recognition of Partial Discharge in Solid Material by Neural Network / Proceedings of the Eighth International Conference on Natural Computation
4. [학술지(정기간행물)] - J. Tang / 2012 / Partial Discharge Recognition Through an Analysis of SF6 Decomposition Products Part 2 : Feature Extraction and Decision Tree-Based Pattern Recognition / IEEE Trans. Dielectrics and Electrical Insulation 19 (1) : 37 ~ 44
5. [학술지(정기간행물)] - W. Y. Chang / 2008 / Application of Self Organizing Map Approach to Partial Discharge Pattern Recognition of Cast-Resin Current Transformers / WSEAS Trans. Computer Research 3 (3) : 142 ~ 151
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UCI(KEPA) : I410-ECN-0101-2015-500-001072560