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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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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.2
- 발행연도
- 2014.3
- 수록면
- 695 - 706 (12page)
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초록· 키워드
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Partial discharge (PD) measurements have emerged as a dominant investigative tool for condition monitoring of insulation in high voltage equipment. But the major problem behind them the PD signal is severely polluted by several noises like White noise, Random noise, Discrete Spectral Interferences (DSI) and the challenge lies with removing these noise from the onsite PD data effectively which leads to preserving the signal for feature extraction. Accordingly the paper is mainly classified into two parts. In first part the PD signal is artificially simulated and mixed with white noise. In second part the PD is measured then it is subjected to the proposed denoising techniques namely Translation Invariant Wavelet Transform (TIWT). The proposed TIWT method remains the edge of the original signal efficiently. Additionally TIWT based denoising is used to suppress Pseudo Gibbs phenomenon. In this paper an attempt has been made to review the methodology of denoising the PD signals and shows that the proposed denoising method results are better when compared to other wavelet-based approaches like Fast Fourier Transform (FFT), Discrete Wavelet Transform (DWT), by evaluating five different parameters like, Signal to noise ratio, Cross-correlation coefficient, Pulse amplitude distortion, Mean square error, Reduction in noise level.
목차
Abstract
1. Introduction
2. Characteristics of PD Signal
3. Steps Involved In Wavelet Denoising
4. Generation of PD Signal
5. Evaluated Parameters
6. Results and Discussions
7. Conclusion
References
참고문헌 (16)
참고문헌 신청
1. [학술지(정기간행물)] - R. Bartnikas / 2002 / Partial discharges: their mechanism, detection and measurement / IEEE Transactions on Dielectrics and Electrical Insulation 9 (5) : 763 ~ 808
2. [학술지(정기간행물)] - X. Ma / 2002 / Automated wavelet selection and thresholding for PD detection / IEEE Electrical Insulation Magazine 18 (2) : 37 ~ 45
3. [학술지(정기간행물)] - X. Ma / 2002 / Interpretation of wavelet analysis and its application in partial discharge detection / IEEE Transactions on Dielectrics and Electrical Insulation 9 (3) : 446 ~ 457
4. [학술지(정기간행물)] - L. Satish / 2003 / Wavelet-based denoising of partial discharge signals buried in excessive noise and interference / IEEE Transactions on Dielectrics and Electrical Insulation 10 (2) : 354 ~ 367
5. [학술지(정기간행물)] - Cavalini / 2003 / Advance PD inference in onfield measurements. Part I. Noise rejection / IEEE Transactions on Dielectrics and Electrical Insulation 10 (2) : 216 ~ 224
2. [학술지(정기간행물)] - X. Ma / 2002 / Automated wavelet selection and thresholding for PD detection / IEEE Electrical Insulation Magazine 18 (2) : 37 ~ 45
3. [학술지(정기간행물)] - X. Ma / 2002 / Interpretation of wavelet analysis and its application in partial discharge detection / IEEE Transactions on Dielectrics and Electrical Insulation 9 (3) : 446 ~ 457
4. [학술지(정기간행물)] - L. Satish / 2003 / Wavelet-based denoising of partial discharge signals buried in excessive noise and interference / IEEE Transactions on Dielectrics and Electrical Insulation 10 (2) : 354 ~ 367
5. [학술지(정기간행물)] - Cavalini / 2003 / Advance PD inference in onfield measurements. Part I. Noise rejection / IEEE Transactions on Dielectrics and Electrical Insulation 10 (2) : 216 ~ 224
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UCI(KEPA) : I410-ECN-0101-2015-500-001097470