電力電纜設備在電力系統的分布區域廣闊，巡檢與維修皆極為困難且經濟效益不高，當故障或瑕疵發生時，大多直接汰換排除。本文以電纜接頭做為試驗對象，在接頭接續處製做兩種瑕疵，並以高電壓進行加速老化試驗，試著從中找出共同的老化規則。從試驗所得之局部放電資料中，經由濾波、化簡、資料轉換及特徵萃取後再利用移動平均法，完成104種特徵曲線的建立。
經由特徵篩選，本文找出在不同的放電演進階段中，不同瑕疵或相同瑕疵的共同特徵，據此建立一套評估電纜接頭絕緣狀態的警示系統，用以進行電纜接頭絕緣故障警告。本文在14組試驗樣本資料的測試後，獲得的絕緣故障警告位置約在試驗週期的74.7%，較以往研究約50%左右的位置更接近絕緣故障點，表示不僅能更準確評估電纜接頭故障，且更符合經濟效益。

Because power cable equipment in electric power system is distributed a wide range, inspection and maintenance are extremely difficult and uneconomical. When a fault or defect occurs they often replace the fault cable instead of repairing. In this thesis, the connected point of the power cable joint was tested by two kinds of artificial defects, and then performing the accelerated aging experiment to find out the general rules. The measured partial discharge signal from each test was subject to filtering, simplifying, transforming, feature extraction, and then by means of moving average methods to establish 104 types characteristic curves.
This thesis found the common feature in each defects or the same defects with different time periods to set up a insulation status warning system for power cable’s defect, and the system can warning for power cable fault. After testing 14 sets data by using this warning system, the result could indicate insulation destroyed location in power cable more precisely (approximately 74.7% of the experimental period) than before (50% of the experimental period) . That means that this system could evaluate the cable joint fault accurately and economically.

[1] 彭傑正，「地下電力電纜之維護」，電機月刊第七卷第十二期，第166-251頁，民國八十六年。
[2] 張建國，「高電壓地下電纜接頭絕緣狀態之監測與診斷系統之研究」，博士論文，國立台灣科技大學，民國一百年。
[3] 潘彥竹，「局部放電量測系統之研製」，碩士論文，國立台灣科技大學，民國九十三年。
[4] 鍾易樺，「應用適應性類神經網模糊推論系統於氣體絕緣開關瑕疵辨識之研究」，博士論文，國立台灣科技大學，民國一零二年。
[5] “High-voltage test techniques partial discharge measurements”, IEC60270, 2000.
[6] B. Vahidi, M. J. Alborzi, H.Aghaeinia, and M. Abedi, “Acoustic diagnoses of AC corona on the surfaces of indulators,” IEEE Bologna Power Tech Conference, Bologna, Italy, 2003.
[7] T. Okamoto, T. Kato, Y. Yokomizu, Y. Suzuoki, and T. Tanaka, “PD characteristics as a stochastic process and its intgral equation under sinusoidal voltage,” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 8, pp. 82-90, 2001.
[8] F. H. Kreuger, E. Gulski, and A. Krivda, “Classification of Partial Discharge,” IEEE transactions on Electrical Insulation, vol. 28, pp. 917-931, 1993.
[9] J. C.Fothergill, L. A. Dissado, and P. J. J. Sweeney, “A discharge-avalanche theory for the propagation of electrical trees. A physical basis for their voltage dependence,” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 1, pp. 474-486, 1994.
[10] R. J. Van Brunt, “Stochastic properties of partial-discharge phenomena,” IEEE Transactions on Electrical Insulation, vol. 26, pp. 902-948, 1991.
[11] 台灣電力公司，「高壓單芯交連PE電纜」(A043)，材料規範，民國一百零二年。
[12] 呂錦榮，「高壓電纜接頭(5kV-36kV)概論」，電機月刊第十三卷第三期，第190-200頁，民國九十二年。
[13] F. H. Kreuger, “Partial Discharge Detection in High-Voltage Equipment”, Butterworth & Co. (Publishers) Ltd., 1989.
[14] 侯朝傑，「地下電纜接頭瑕疵之絕緣劣化分析」，碩士論文，國立台灣科技大學，民國九十七年。
[15] 郭文慶，「用於15kV氣體絕緣開關瑕疵辨識之特徵參量選取研究」，碩士論文，國立台灣科技大學，民國一零二年。
[16] Y. H. Lin, R. N. Wu, and I. H. Chung, “Novel trend of “1” shape in PD pattern to judge the appropriate crucial moment of replacing cast-resin current transformer,” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 15, pp. 292-301, 2008.
[17] X. Zhongrong, T. Ju, and S. Caixin, “Application of complex wavelet transformto suppress white noise in GIS UHF PD signals,” IEEE Transactions on Power Delivery, vol. 22, pp. 1498-1504, 2007.
[18] N. C. Sahoo, M. M. A. Salama, and R. Bartnikas, “Trends in partial discharge pattern classification: a survey,” IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 12, pp. 248-264, 2005.
[19] E. Gulski and F. H. Kreuger, “Computer-aided recognition of discharge sources,” IEEE Transactions on Electrical Insulation, vol. 27, pp. 82-92, 1992.
[20] C. Bovill, “Fractal geometry in architecture and design,” Birkhauser, 1996.
[21] N. Sarkar and B. B. Chaudhuri, “An efficient differential box-counting approach to compute fractal dimension of image,” IEEE Transactions on systems, Man and Cybernetics, vol. 24, pp. 115-120, 1944.