电器与能效管理技术Issue(10)：36-41,6.DOI:10.16628/j.cnki.2095-8188.2024.10.006
基于多传感信息融合的电缆附件局部放电诊断算法研究
Research on Partial Discharge Diagnosis Algorithm for Cable Accessories Based on Multi Sensor Information Fusion
摘要
Abstract
A partial discharge diagnosis algorithm for cable accessories based on multi-sensor information fusion is proposed to solve the relative questions.An experimental platform is built.The transient earth voltage sensors(TEV),high-frequency current sensors(HFCT),and ultrasonic sensors(A A)are used to collect multimodal data of partial discharge in cable accessories.A partial discharge phase distribution(PRPD)feature mapis draw.A dataset for partial discharge is constructed.The convolutional neural network(CNN),backpropagation neural network(BPNN),and support vector machine(SVM)algorithms are used for classification and recognition to obtain the recognition credibility of the three algorithms.The intelligent fusion algorithm is obtained through the credibility fusion,and the recognition results show that the intelligent fusion algorithm exhibite high recognition accuracy in the different scenarios to improve the accuracy and reliability of partial discharge diagnosis of cable accessories.关键词
局部放电/卷积神经网络/反向传播神经网络/支持向量机/多模态数据Key words
partial discharge/convolutional neural network(CNN)/backpropagation neural network(BPNN)/support vector machine(SVM)/multimodal data分类
信息技术与安全科学引用本文复制引用
刘浩,侯春光,高有华..基于多传感信息融合的电缆附件局部放电诊断算法研究[J].电器与能效管理技术,2024,(10):36-41,6.
