摘要
针对断路器故障诊断技术中智能识别算法过于复杂的问题,提出了一种基于灰色关联度的框架式断路器故障诊断方法,该方法利用灰色综合关联度描述故障特征序列曲线之间的几何相似度来判断故障的归属,充分利用故障特征本身的变化趋势。其首先提取触头振动信号局部均值分解能量矩或分合闸线圈电流信号集合经验模态分解能量矩,经归一化后形成能量矩序列,将该能量矩序列与不同故障状态下的参考序列进行灰色综合关联分析,根据最大关联度原则确定故障类型,其中灰色综合关联度各指标的权值系数利用熵值赋权法得到。对断路器触头分合闸机械结构故障和操作附件分合闸线圈回路故障进行了诊断测试,结果表明,该方法能够准确有效地完成对断路器不同故障的诊断。
Aiming at the problem that the intelligent recognition algorithm is too complicated in the fault diagnosis technology of circuit breaker,a fault diagnosis method of frame-type circuit breaker is proposed based on grey correlation degree. This method uses the grey comprehensive correlation degree to describe the geometric similarity among the fault characteristic sequence curves to judge the type of the fault and makes full use of the changing trend of the fault feature itself. Firstly,the method extracts the local mean decomposition energy moment of the contact vibration signal or the ensemble empirical mode decomposition energy moment of switching coil current signal,which are normalized to form the energy moment sequence. Secondly,the grey comprehensive correlation analysis between the resulting energy moment sequence and the referring sequences under different fault states. Finally,according to the principle of maximum correlation degree,the fault type is determined,and the weight coefficients of various indices of the grey comprehensive correlation degree are obtained with entropy weight method. The diagnosis and testing on the switching mechanical structure fault of the circuit breaker contact and the switching coil circuit fault of operating accessory were conducted,and the results show that the proposed method can achieve the diagnosis of different faults for the frame-type circuit breaker accurately and effectively.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2017年第10期2525-2535,共11页
Chinese Journal of Scientific Instrument
基金
天津市科技特派员项目(16JCTPJC51700)资助
关键词
框架式断路器
故障诊断
能量矩
熵值赋权
灰色综合关联度
frame-type circuit breaker
fault diagnosis
energy moment
entropy weight
grey comprehensive correlation degree
作者简介
孙曙光（通讯作者），分别在2002年、2005年和2009年于河北工业大学获得学士、硕士和博士学位，现为河北工业大学副教授，主要研究方向为电器检测与试验。E—mail：sunshuguang_2000@163．com
