基于信息融合技术的变电设备运行故障协同诊断方法研究

Research on cooperative diagnosis method of substation equipment operation fault based on information fusion technology

为了提高变电设备运行故障的智能诊断能力,提出基于信息融合技术的变电设备运行故障协同诊断方法。采用大数据传感信息感知方法进行变电设备运行故障原始样本信息采样,对采集的变电设备运行故障特征序列进行信息重构和融合处理,采用信息融合技术进行变电设备运行故障的协同特征提取和信息分布式挖掘,提取变电设备运行故障的关键特征量,采用模糊信息融合技术进行变电设备运行故障的特征分布式检测和智能分类,结合模糊信息聚类方法实现对各类变电设备运行故障的分类诊断,提高变电设备运行故障的智能诊断和检测能力,实现变电设备运行故障的协同诊断。仿真结果表明,采用该方法进行变电设备运行故障诊断的协同性较好,对故障特征的检测准确概率较高。

In order to improve the intelligent diagnosis ability of substation equipment operation fault,a cooperative fault diagnosis method of substation equipment operation fault based on information fusion technology is proposed.Big data sensing information sensing method is used to sample the original sample information of substation equipment operation fault,and the collected substation equipment operation fault feature sequence is reconstructed and fusion processed.The cooperative feature extraction and information distributed mining of substation equipment operation fault are carried out by using information fusion technology,and the key feature quantities of substation equipment operation fault are extracted.Fuzzy information fusion technology is used for distributed detection and intelligent classification of substation equipment operation faults.Combined with fuzzy information clustering method,the classification and diagnosis of various substation equipment operation faults is realized,t he intelligent diagnosis and detection ability of substation equipment operation faults is improved,and the cooperative diagnosis of substation equipment operation faults is realized.The simulation results show that the method has good cooperation in fault diagnosis of substation equipment,and the accurate probability of fault feature detection is high.