基于振动-电流广域特征与软共享机制的断路器多故障诊断  

Multi-fault diagnosis of circuit breaker based on vibration-current wide-domain features and soft sharing mechanism

作　　者：孙曙光 杨飞龙 陈静 黄光临 王景芹[3] Sun Shuguang;Yang Feilong;Chen Jing;Huang Guanglin;Wang Jingqin(School of Artificial Intelligence,Hebei University of Technology,Tianjin 300401,China;Wenzhou Juxing Technology Co.,Ltd,Wenzhou 325062,China;State Key Lab Reliability and Intelligence of Electrical Equipment,Hebei University of Technology,Tianjin 300130,China)

机构地区：[1]河北工业大学人工智能与数据科学学院,天津300401 [2]温州聚星科技股份有限公司,温州325062 [3]河北工业大学省部共建电工装备可靠性与智能化国家重点实验室,天津300130

出　　处：《仪器仪表学报》2024年第1期46-59,共14页Chinese Journal of Scientific Instrument

基　　金：河北省自然科学基金(E2021202136)项目资助。

摘　　要：万能式断路器机械结构复杂,其产生的故障具有多源性,对多源故障进行失效溯源分析是十分必要的。然而,传统的多任务诊断方法不能很好地处理任务间存在的干扰问题,导致故障识别率降低。针对此问题,提出一种基于振动-电流广域特征与软共享机制的多故障诊断方法。首先利用TKEO与DTM,实现分合闸振动信号片段的精准分割,在此基础上分别融合触头动作关联振动信号和附件电流信号的广域特征信息合成彩色图像样本以丰富故障表征信息。然后基于多任务学习的软共享机制构建多故障诊断模型,并通过自适应加权方法来自动的调整两个任务损失函数的权重比例,消除了任务间的相互干扰,进而提高了故障诊断的性能。最后分别从合闸和分闸两个过程进行实例分析,结果表明本文所提方法在两个任务的分类准确率分别达到了99.78%和99.85%,可以有效地实现万能式断路器多故障诊断。The mechanical structure of conventional circuit breaker is complex,and the faults caused by it are attriltuted to multi-source,so it is necessary to analyze the multi-source faults.However,the traditional multitask diagnosis method cannot deal with the interference between tasks well,which leads to the decrease of fault recognition rate.To solve this problem,a multi-fault diagnosis method based on wide-area features of vibration-current and soft sharing mechanism is proposed.Firstly,TKEO and DTM are used to achieve the accurate segmentation of vibration signal segments of the opening and closing process,and on this basis,the wide-area features of the vibration signal associated with the contact action and the attachment current signal are fused to synthesize color image samples to enrich the fault characterization information.Then,a multi-fault parallel diagnosis model is constructed based on the soft sharing mechanism of multitask learning,and automatically adjusts the weight ratio of the loss function of two tasks is automatically adjusted by adaptive weighting method to eliminate the mutual interference between tasks,thus improving the performance of fault diagnosis.Finally,examples are analyzed based on the two processes of closing and breaking respectively,and the results show that the classification accuracy of proposed method in this paper reaches 99.78%and 99.85%for two tasks respectively,which can effectively realize the multi-fault diagnosis of conventional circuit breakers.

关 键 词：万能式断路器 广域信息融合 多任务学习 多故障诊断 

分 类 号：TM561[电气工程—电器] TH165.3[机械工程—机械制造及自动化]