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                      [1]彭在興,王 頌,易 林,等.基于SVM主成分分析的高壓斷路器分合閘線圈故障診斷研究[J].高壓電器,2019,55(07):39-46.[doi:10.13296/j.1001-1609.hva.2019.07.007]
                       PENG Zaixing,WANG Song,YI Lin,et al.Research on Fault Diagnosis of High Voltage Circuit Breaker Opening/Closing Coils Based on SVM Principal Component Analysis[J].High Voltage Apparatus,2019,55(07):39-46.[doi:10.13296/j.1001-1609.hva.2019.07.007]
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                      基于SVM主成分分析的高壓斷路器分合閘線圈故障診斷研究()
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                      《高壓電器》[ISSN:1001-1609/CN:61-11271/TM]

                      卷:
                      第55卷
                      期數:
                      2019年07期
                      頁碼:
                      39-46
                      欄目:
                      研究與分析
                      出版日期:
                      2019-07-31

                      文章信息/Info

                      Title:
                      Research on Fault Diagnosis of High Voltage Circuit Breaker Opening/Closing Coils Based on SVM Principal Component Analysis
                      作者:
                      彭在興1 王 頌1 易 林1 劉 芹1 陳 曦2 梁夢婕3 褚飛航3 曹 辰4 嚴海波4 劉定新3
                      (1. 南方電網科學研究院有限責任公司, 廣州 510000; 2. 中國南方電網有限責任公司, 廣州 510000; 3. 西安交通大學電氣工程學院 西安 710049; 4. 山東泰開集團, 山東 泰安 271000)
                      Author(s):
                      PENG Zaixing1 WANG Song1 YI Lin1 LIU Qin1 CHEN Xi2 LIANG Mengjie3 CHU Feihang3 CAO Chen4 YAN Haibo4 LIU Dingxin3
                      (1. Electrical Power Research Institute of CSG, Guangzhou 510000, China; 2. China Southern Power Grid Co., Ltd., Guangzhou 510000, China; 3. College of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China; 4. Shandong Taikai Company, Shandong Tai’an 271000, China)
                      關鍵詞:
                      故障診斷 分合閘線圈電流 支持向量機 主成分分析法
                      Keywords:
                      fault diagnosis opening/closing coils current SVM PCA
                      DOI:
                      10.13296/j.1001-1609.hva.2019.07.007
                      摘要:
                      拒動是斷路器最嚴重的故障類型之一,可能導致大面積停電事故,而近年來由于分合閘線圈故障導致拒動時有發生,診斷分合閘線圈的運行狀態對于保障電網安全具有重要意義。文中以某型號SF6瓷柱式高壓交流斷路器中的分合閘線圈爲研究對象,通過實驗模擬電源電壓跌落、供電回路接觸不良、鐵心卡澀、鐵心空行程大這幾種典型的故障類型,獲取正常與故障條件下的分合閘線圈電流波形。進而采用支持向量機(SVM)算法對分合閘線圈故障進行診斷,特別是采用主成分分析法提取電流波形的特征參數作爲診斷依據,實現了對故障的有效識別。基于SVM主成分分析的方法可方便構建故障診斷專家系統,以保障分合閘線圈可靠運行。
                      Abstract:
                      Failure to operation is one of the most serious fault types of breakers, which may lead to a large-scale power outage. In recent years- failure to operation happened frequently partially due to the fault of the opening/closing coils. It is important to diagnose the operating status of the opening/closing coils and ensure the safety of the power grid. In this paper- opening/closing coil current is collected both in normal and abnormal conditions by simulating some typical fault types such as under-voltage fault- poor contact with the circuit- the core jam and so on. Furthermore SVM algorithm is used to diagnose the fault of the opening/closing coils. In particular the characteristic parameters of the current waveform are extracted by the principal component analysis (PCA) which is regarded as the basis of diagnosis. The method of principal component analysis based on SVM can identify the fault effectively and facilitate the construction of fault diagnostic expert system to ensure the reliable operation of the closing/opening coil.

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                      備注/Memo

                      備注/Memo:
                      彭在興(1979—),男,碩士,高級工程師,主要從事高壓開關技術研究。收稿日期:2018-11-25; 修回日期:2019-01-14
                      更新日期/Last Update: 2019-07-15