电测与仪表2017，Vol.54Issue(4)：92-99,8.
基于形态小波和支持向量机的高压断路器状态监测和故障诊断
Condition monitoring and fault diagnosis of high voltage circuit breaker based on morphology wavelet and support vector machine
摘要
Abstract
It is generally difficult to obtain the data of circuit breaker failures.Considering this situation,an experiment platform for circuit breaker failures is built to obtain the failure data.In order to overcome the deficiency of traditional monitoring,which is based on single feature and thus is hard to judge the statues of the circuit breaker,this paper proposes the method of multi-dimensional mapping.An algorithm of opening and closing weighted filter based on mathematical morphology is proposed to filter tripping coil current signals of circuit breaker,and the feature values reflecting the waveform differences are extracted.For vibration signals morphological wavelet transform is used to extract their feature values,i.e.the energy of various frequency bands.Support vector machine is used for combining the feature values of current signals and vibration signals to form multi-dimensional mapping and to diagnose the status of circuit breakers.A great number of experiments are conducted and the results prove the effectiveness of the proposed method.关键词
故障模拟/多维映射/形态开闭加权复合滤波/振动信号/形态小波Key words
fault simulation/multi-dimensional mapping/morphological opening and closing weighted filter/vibration signal/morphological wavelet分类
信息技术与安全科学引用本文复制引用
董镝,李恒真,易林,王继峰,王云飞,陈斯翔..基于形态小波和支持向量机的高压断路器状态监测和故障诊断[J].电测与仪表,2017,54(4):92-99,8.基金项目
广东省电网公司科技项目(K-GD2014-030) （K-GD2014-030）
