由於電纜常見事故多發生在人工接續部份，因此本研究為探討地下電纜直線接頭絕緣狀態之研究，絕緣狀態之維護為電力發展的重要項目，地下電纜絕緣狀態之評估，使用局部放電資料能依其絕緣之狀態適時進行維修，以避免非預期停電發生。
由於地下電纜絕緣長期局部放電後，電纜接頭內部將碳化形成電阻性，導致無法量測到局部放電訊號，單筆局部放電之測量數據評估電纜接頭之絕緣狀態造成困難度高，因此本文進行兩種瑕疵共十五組地下電纜接頭長期劣化試驗，目的在於獲取大量局部放電試驗數據，增加本文所提出絕緣判斷機制之可靠度，經過雜訊抑制與特徵萃取出一零四種特徵參數，挑選出正與負放電區域放電次數之相位重心與標準差，並利用雙特徵老化軌跡曲線初步定義為末期，藉由解剖分析歸類，觀察出相同之破壞路徑，因眾多加速劣化試驗之電纜接頭局部放電的混沌性與不規則性，因此進入支持向量機導出絕緣診斷模型為其重要性，最後結合雙特曲線之轉折處作為修正判斷，未來樣本數增加或其他瑕疵試驗加入可更新絕緣診斷模型並擁有絕緣狀態警示安全期、注意期、危險期之功能。

The underground cable joint may be deterioration for breakdown as a result of the construction joint of the artificial defection,power quality is closely related to the operating condition of underground cable,have been stable of power system for fault avoidance.
Beause of encountering long time with partial discharges,The internal material of insulation defects might become resistive. Then, it is likely difficult to assess the insulation status of power apparatus by just utilizing the partial discharge information of a single measurement. The difficulty might be alleviated if the evolution of partial discharge information can be acquired by on-line long-term monitoring,The research was to conduct partial discharge deterioration test on two kinds of defects of underground cable joints with fifteen sample The measured PD signal was subject to noise suppression, dimension reduction, feature extraction and finally became 104 kinds of features.
The research has select four features,then categorized by anatomical analysis of underground cable joint, observe the same path of destruction, Because PD data is irregular, applying of support vector machine(SVM) to the insulation status assessment of power cable joints is important,
Finally, The research integrated with the SVM analysis and aging trace curve that can update the SVM model if increase the number of samples. The insulation warning system has safety period, attention period, danger period.

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