基于案例推理的智能电源故障诊断算法研究  

Research on fault diagnosis algorithm of intelligent power supply based on case-based reasoning

作　　者：胡玉良[1,2,3] 穆慧敏 吴晓赢[4] 邓红霞[4] 李颖 HU Yuliang;MU Huimin;WU Xiaoying;DENG Hongxia;LI Ying(National Continental Rift Valley Dynamics Observatory of Taiyuan,Shanxi Province 030025,China;Shanxi Earthquake Agency,Taiyuan 030021,China;Sichuan Earthquake Agency,Chengdu 610041,China;Taiyuan University of Technology,Shanxi Province 030024,China)

机构地区：[1]太原大陆裂谷动力学国家野外科学观测研究站,山西030025 [2]山西省地震局,太原030021 [3]四川省地震局,成都610041 [4]太原理工大学,山西030024

出　　处：《地震地磁观测与研究》2023年第2期164-169,共6页Seismological and Geomagnetic Observation and Research

基　　金：中国地震局地震科技星火计划项目(项目编号:XH21008Y)。

摘　　要：为提升地震台站供电系统故障诊断的准确性和实时性,以山西地震监测站网智能电源故障为例,整理统计智能电源故障案例集,建立故障案例库,提取特征属性和故障类型;对于原始和经特征属性处理的故障数据集,采用邻近算法,计算分析源案例和目标案例的相似度,发现经特征属性处理的故障数据,案例检索的准确性较高。In order to improve the accuracy and real-time performance of fault diagnosis in the power supply system of seismic stations,taking the intelligent power supply faults of the Shanxi Seismic Monitoring Station Network as an example,the intelligent power fault case set is sorted out,the fault case database is established,and the characteristic attributes and fault types are extracted.For the original and feature attribute processed fault datasets,the proximity algorithm is used to calculate and analyze the similarity between the source case and the target case,and it is found that the latter is more accurate.

关 键 词：故障维修 案例推理 智能电源 邻近算法 相似度 

分 类 号：P315.78[天文地球—地震学]