부분방전 신호 검출 시 노이즈 제거방법

다국어 초록 (Multilingual Abstract)

Currently, partial discharge diagnosis in the field of prevention applied technology and diagnostic equipment is a possible strong limit to remove the noise generated by external or internal I still have one unreliable diagnosis. This technology is the noise removal from signal the time lag analysis algorithms technique is applied by a fundamental. Increasing the reliability in terms of technology spectrum frequence of analysis method for by applying the acquisition through the position of the frequency content and sources of traffic lights partial discharge of the acquisition of signal analysis to judge whether a way diagnosis the environment of the scene, and conditions. Partial discharge signal and make the discharge while building blocks were found through the Analysis. Spectrum frequence of Analysis and wide discharge part, to be more precise, in line with the various functions, including the analysis technique band. Diagnosis and comes up with advanced technology that can detect the presence of a position.
This method is portable single device developed for maintenance and mobility and ease and convenience of getting caught by discharge of the pattern analysis and position detection method suitable for a new diagnosis will suggest.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 본론
• 3. 결론
• References

참고문헌 (Reference)

1 구선근, "가스절연모선(GIB)에서 전자파 방전신호의 모드별 군속도 차이를 이용한 방전위치 산정기법" 대한전기학회 56 (56): 2184-2188, 2007

2 X. Zhang, "State Key Laboratory of Transmission & Distribution Equipment and Power System Safety and New Technology Chongqing University, Shapingba District, Chongqing 400044, People’Republic of China “Suppression of UHF partial discharge signals buried in white-noise interference based on block thresholding spatial correlation combinative de-noising method”"

3 Eric Bogatin, "Signal and power lntegrity : Time and frequency domains" pearson Education 2009-, 2015

4 이승철, "GIS의 도파관 특성을 고려한 절연결함 위치판정에 관한 연구" 대한전기학회 57 (57): 252-255, 2008

5 Masayuki Hikita, "Fundamental Principles and Application of Diagnosis for GIS using Partial Discharge Measurements" 2011

6 Mun-Gyu Choi, "Apparatus for Analyzing Pattern of Partial Discharge and Detecting Location System of Partial Discharge" Korea Electric Power Corporation 2014

7 A. Cavallini, "Advanced Partial Discharge Inference in On-Field Measurements, Part Ⅰ: Noise Rejection" IEEE 2003