多信息源的一二次设备故障智能化识别方法  

Intelligent identification method of primary and secondary equipment faults with multiple information sources

作　　者：钱肖 吕磊炎 马翔 支月媚 沃建栋 张文杰 QIAN Xiao;LV Lei-yan;MA Xiang;ZHI Yue-mei;WO Jian-dong;ZHANG Wen-jie(State Grid Jinhua Power Supply Company,Jinhua 321000,Zhejiang Province,China)

机构地区：[1]国网浙江省电力有限公司金华供电公司,浙江金华321000

出　　处：《信息技术》2023年第2期173-177,184,共6页Information Technology

摘　　要：一二次设备实际产生故障时,剩余输出电压会产生波动负载,导致识别时的比差数值较小,功率反送能力较差,针对该问题,设计多信息源的一二次设备故障智能化识别方法。获取一二次设备的多信息源,处理输出电压数值为纵分量,控制一二次设备产生的波动负载,设计故障数据计算模型,联合受限玻尔兹曼机,在一二次设备与故障数据之间构建数值关系,采用二次微分处理数值支持向量机中的超参数,完成一二次设备故障智能化识别。实例测试结果表明,所设计的故障识别方法比差数值最大,功率反送能力最佳。When the primary and secondary equipment actually has a fault,the residual output voltage will produce fluctuating load,resulting in small specific difference value and poor power transmission ability.To solve this problem,an intelligent fault identification method of primary and secondary equipment with multiple information sources is designed.Multiple information sources of the primary and secondary equipment are obtained,the output voltage value is processed as the longitudinal component,and the fluctuating load generated by the primary and secondary equipment is controlled to design the fault data calculation model,and combine the limited Boltzmann machine,the numerical relationship between the primary and secondary equipment and the fault data is constructed.Finally,the quadratic differential is used to process the super parameters in the numerical support vector machine to complete the intelligent identification of primary and secondary equipment faults.The test results show that the ratio difference of the designed fault identification method is the largest and the power transmission ability is the best.

关 键 词：多信息源 一二次设备 设备故障 波动负载 比差数值 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]