摘要
对小波变换的时频分析特征进行了详细研究,将其应用到配电网常见故障的识别中。在MATLAB/SIMULINK下搭建了系统仿真模型,对发生不同故障时的电流信息进行了特征提取,结果证明基于小波变换的方法不仅能对故障类型进行判别,而且还能准确确定出故障发生的时间。
The wavelet transform time-frequency analysis characteristics have been studied in detail,and it was used in the identification of common faults in distribution network.The system simulation model was built based on MATLAB/SIMULINK,the current information characteristics of different fault was extracted,and the results show that the wavelet transform method not only can distinguish the fault type,but can determine the moment of failure accurately also.
出处
《煤矿机械》
北大核心
2014年第1期232-233,共2页
Coal Mine Machinery
关键词
故障识别
特征提取
小波变换
fault identification
feature extraction
wavelet transform
