【摘要】：目前,高壓直流電纜工程空前開展,但電纜及其附件帶電檢測和模式識別技術研究尚處于初級階段。使用交聯聚乙烯電纜設計制作了絕緣內部氣隙、絕緣表面劃傷、外半導電層爬電、高壓端毛刺電暈4種絕緣缺陷模型。提出將基于壓縮感知理論的稀疏表示分類技術應用于直流下局部放電信號模式識別。使用放電重復率圖譜作為分類樣本,將訓練樣本集組成過完備字典,利用測試樣本在其上投影的稀疏性,通過1范數最小進行稀疏表示從而實現分類。在不同樣本維數下,采用同倫、非負最小二乘以及正交匹配追蹤3種算法解決1范數最小問題。結果表明:較低維度(10×10維、15×15維)時,3種方法識別正確率近似,隨著維度增大,同倫法識別率明顯優(yōu)于另外兩者,20×20維時最大識別率可達92.31%,非負最小二乘法識別率稍次,但運算時間過長。綜合比較,同倫法具有識別率高和運算速度快的優(yōu)點,取20×20維即可滿足識別精度和計算效率的要求。
[Abstract]:At present, HVDC cable engineering has been carried out unprecedented, but the research on live detection and pattern recognition technology of cable and its accessories is still in its infancy. Four kinds of insulation defect models, such as air gap inside insulation, scratch on insulation surface, creeping of outer semiconductive layer and burr corona at high voltage end, were designed and manufactured by using cross-linked polyethylene cable. A sparse representation classification technique based on compression sensing theory is proposed for PD signal pattern recognition under DC conditions. The discharge repetition rate graph is used as the classification sample and the training sample set is formed into an over-complete dictionary. The sparsity of the projection of the test sample on it is used to realize the classification by the sparse representation of the minimum norm of 1 norm. Under different sample dimensions, homotopy, non-negative least squares and orthogonal matching tracking algorithms are used to solve the 1-norm minimum problem. The results show that at the lower dimension (10 脳 10 dimension, 15 脳 15 dimension), the recognition accuracy of the three methods is approximate. With the dimension increasing, the homotopy recognition rate is obviously better than the other two, and the maximum recognition rate can reach 92.31% at 20 脳 20 dimension, and the recognition rate of the homotopy method is better than that of the other two methods. The recognition rate of non-negative least square method is a little lower, but the operation time is too long. Comprehensive comparison shows that homotopy method has the advantages of high recognition rate and fast operation speed, and 20 脳 20 dimension can meet the requirements of recognition precision and calculation efficiency.
【作者單位】： 上海交通大學電氣工程系;國網浙江省電力公司舟山供電公司;
【基金】：國家重點基礎研究發(fā)展計劃(973計劃)(2014CB239506) 國家電網公司科技項目(52110115007J)~~
【分類號】：TM75

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相關期刊論文 前7條

1 謝書鴻;傅明利;尹毅;薛建凌;胡明;;中國交聯聚乙烯絕緣高壓直流電纜發(fā)展的三級跳:從160kV到200kV再到320kV[J];南方電網技術;2015年10期

2 何金良;黨斌;周W，

本文編號：2446527