摘要
针对配电线路上的故障分类问题,提出了一种结合原子能量熵和连续字符串匹配(CSM)的故障分类方法.通过分析故障信号的暂态特征,利用原子分解法得到故障暂态信号的主导原子以及对故障信息进行补充的次级原子,计算原子能量熵作为故障特征量,较完备地描述了故障特征.应用CSM进行故障分类节省了智能算法故障辨识中参数选择和优化的时间,通过建立的编码规则,将故障特征进行编码,搜索故障编码库,最终确定故障类型.通过仿真研究,验证了该算法的可行性与有效性.
In order to solve the problem of fault classification on distribution lines,a method was proposed in which atomic energy entropy was combined with continuous string matching（ CSM）.The fault transient feature was analyzed,the dominant atom and the secondary one of fault transient signal were achieved by atom decomposition method,and the secondary one was used to supplement fault information. Atomic energy entropy of each atom was regarded as the fault characteristic value,representing fault feature more completely. Applying CSMfault classification method could save the time spending on selection and optimization of processing parameters in some smart fault identification method,through the establishment of encoding rules,fault features were encoded,and then the fault type was finally confirmed by searching the encoded fault library. A case study of system model showed that the proposed method is feasible and efficient.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2017年第1期1-5,共5页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(61433004)
中央高校基本科研业务费专项资金资助项目(N130604001)
关键词
原子能量熵
连续字符串匹配
故障提取
故障分类
配电线路
atomic energy entropy
CSM（continuous string matching）
fault extraction
fault classification
distribution lines
