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故障诊断及检测的难点在于故障信息的提取。为了克服传统采用傅里叶变换和小波变换时运算量大的缺点,提出将EMD分解和希尔伯特黄变换应用到故障信息检测中。在Matlab/simulink下搭建了三相短路故障信息检测仿真系统,编程验证了希尔伯特变换的故障检测结果,结果证明该算法不仅能准确对故障信息进行检测,而且算法简单,更有实用价值。
The difficulty of fault diagnosis and detection lies in the extraction of fault information. In order to overcome the shortcomings of large amount of computation when using traditional Fourier transform and wavelet transform, we propose to apply EMD decomposition and Hilbert transform to fault information detection. The three-phase short-circuit fault information detection and simulation system is built under Matlab / simulink, and the fault detection results of Hilbert transform are verified by programming. The results show that the algorithm can not only detect the fault information accurately, but also has the advantages of simple algorithm and more practical value .