本文藉由音射檢測技術針對氣體絕緣開關設備與氣體絕緣傳輸線之絕緣性能作預防診斷評估，並利用小波轉換抑制背景雜訊的干擾。在氣體絕緣開關設備與氣體絕緣傳輸線中，粒子撞擊與部分放電的存在將導致 氣體的絕緣裂化，因此在對系統造成更大損害之前部分放電檢測是必要的。此外，現場檢測時各種雜訊干擾將使得訊號不易辨識，因此利用小波轉換抑制背景雜訊的干擾。經實驗數據證明小波分析的結果可以有效消除雜訊提高訊號的識別率，且音射檢測技術可有效應用於氣體絕緣開關設備與氣體絕緣傳輸線之預防診斷。

In this thesis, acoustic emission detection technique is used to estimate the insulating ability of Gas Insulated Switchgear (GIS) and Gas Insulated Transmission Line (GIL). In addition, the wavelet transform is applied to suppress noises within field-measured signals. The presence of free moving metallic particles and partial discharge (PD) deteriorates the insulation strength of GIS and GIL. So, it is necessary to detect partial discharge in GIS at an early stage before the system failure and extensive damage to the equipment. From the field-measurement signals and corresponding wavelet analysis, it is proved that the noisy can be eliminated as well as the signals identification can be increased. Furthermore, PD signals could be detected in GIS and GIL.

[1] 陳崇賢，「GIS的外部診斷量測技術」，電機月刊，第十二卷第十期，第154~159頁，2002年10月。
[2] L. E. Lundgaard, M. Runde and B. Skyberg, “Acoustic Diagnosis of Gas Insulated Substations：A Theoretical and Experimental Basis,” IEEE Transactions on Power Delivery, Vol.5, No.4, pp.1751-1759 , Nov. 1990。
[3] 李榮文，「新型六氟化硫(SF6)氣體絕緣開關設備(GIS)介紹」，電機月刊，第十卷第十期，第314~317頁，2000年10月。
[4] 顏世雄、溫坤禮、粘孝先，「高壓電工程」，全華，1997年3月。
[5] 李建基，「高壓斷路器及其應用」，中國電力出版社，2003年。
[6] 夢學琛，「SF6氣體絕緣全封閉組合電器(GIS)」，中國電力出版社，1998年11月。
[7] 劉顯成，「模鑄型變壓器部分放電音射檢測系統之研製」，碩士論文，國立成功大學電機工程學系，2004年6月。
[8] M. Boltze, “Partial Discharge Monitoring at 400 kV GIS Project ‘Castle Peak – Hong Kong’,” LDIC, 21th Jul. 2003.
[9] M. E. Haque, A. Darus, M. M. Yaacob and F. Ahmad, “Application of Acoustic Sensing and Signal Processing for PD Detection in GIS,” 1st International Conference on Information, Communications and Signal Processing, Singapore, pp.745-749, Sep. 1997
[10] P. S. Yum, F. Campbell and A. Eltom, “The Diagnostic Analysis of Partial Discharge with Acoustic Monitoring in GIS Equipment,” IEEE Power Engineering Society Summer Meeting, pp.196-200, July 2002.
[11] Vallen-System GmbH, AE Testing Fundamentals Equipment Applications, HandBook, 2002.
[12] 陳建一，謝如主，蘇經洲，黃錠城，陳建富，戴政祺「音射法應用在氣體絕緣管線部分放電之線上量測」，中華民國第二十六屆電力工程研討會，2005年12月。
[13] Md. E. Haque , F. Ahmed , A. B. Darus and M. M. Yaacob, “Diagnosis of GIS Based on Acoustic Sensing Technique,” Proc. of International Conference on Advances in Power System Control, Operation and Management, IEE Hong Kong section, pp.556-558,. Nov. 1997.
[14] 蔡錫饒，「非破壞實驗檢測」，文京圖書有限公司，2000年。
[15] 黃智偉，「超音波量測混凝土表面斜向裂縫之波動傳遞行為研究」，碩士論文，國立屏東科技大學土木工程系，2002年6月。
[16] 褚政鑫，「探討透地雷達與超音波技術於混凝土冷縫檢測之可行性研究」，碩士論文，中華大學土木工程學系，2003年6月。
[17] A. Schei, S. Kyrkjecide, and V. Larsen, “Acoustic Insulation Analyzer for Periodic Condition Assessment of Gas Insulated Substations,” IEEE/PES Transmission and Distribution Conference and Exhibition, pp.919-924, 2002.
[18] 林育勳，「數位局部放電量測應用於模鑄式比流器絕緣狀態之評估」，博士論文，國立台灣科技大學電機工程系，2004年7月。
[19] C. S. Burrus, R. A. Gopinath, and H. Guo, Introduction to Wavelets and Wavelet Transforms, A Primer, Upper Saddle River, NJ：Prentice-Hall Inc, 1998.
[20] 曹鍵滎，「小波收縮應用於非安定訊號雜訊濾除之改進」，碩士論文，國立海洋大學電機工程學系，2000年6月。
[21] M. Misiti, Y. Misiti, G. Oppenheim and J. Poggi, Wavelet Toolbox Manual—User’s Guide, The Math Works Inc., USA, 1996.
[22] 翁國正，「應用小波係數臨界法於消除助聽器背景噪音之技術」，碩士論文，國立成功大學電機工程系，2003年6月。
[23] I. Shim, J. J. Soraghan, and W. H. Siew, “A Noise Reduction Technique for on-Line Detection and Location of Partial Discharges in High Voltage Cable Networks,” Measurement Science and Technology, pp.1708-1713, Nov. 2000.
[24] 柴松林，「統計學」，台北，三民書局，1980。
[25] S. J. Steven Tsai, “Power Transformer Partial Discharge (PD) Acoustic Signal Detection Using Fiber Sensors and Wavelet Analysis, Modeling, and Simulation,” Master's Thesis, Virginia Polytechnic Institute and State University U.S.A, December 06, 2002 Blacksburg.
[26] X. Zhou, C. Zhou, and I. J. Kemp, “ An Improved Methodology for Application of Wavelet Transform to Partial Discharge Measurement Denoising,” IEEE Transactions on Dielectrics and Electrical Insulation, Vol.12, No.3, pp.586-594, Jun. 2005.
[27] B. Vidakovic, Statistical Modeling by Wavelets, John Wiley & Sons Inc., 1999.
[28] D.L. Donoho, “Denoising by Soft Thresholding,” IEEE Transactions Information Theory, pp.961-1005, 1994.
[29] I. Shim, J. J. Soraghan, and W. H. Siew, “Detection of PD utilizing Digital Signal Processing Methods. Part 3: Open-Loop Noise Reduction,” IEEE Electrical Insulation Magazine, Vol.17, No.1, pp.1-8, January/February 2001.
[30] X. Ma, C. Zhou, and I. J. Kemp, ‘‘Automated Wavelet Selection and Thresholding for PD Detection,’’ IEEE Electrical Insulation Magazine, Vol.18, No.2, pp.37-45, March/April 2002.
[31] M. Masanori, T. Okano, S. Nishimoto and K. Arii, “Study on Application of Wavelet Analysis for Degradation Diagnosis of Partial Discharge on a Void,” IEEE 5th International Conference on Conduction and Breakdown in Solid Dielectrics, pp 371-375, 1995.
[32] L. Satish, B. Nazneen, “Wavelet-Based Denoising of Partial Discharge Signals Buried in Excessive Noise and Interference,” IEEE Transactions on Dielectrics and Electrical Insulation Vol.10, No.2, pp.354-367, Nov. 2002.