基于希尔伯特黄变换的三相短路故障信息检测

Three-phase Short-circuit Fault Information Detection Based on Hilbert-huang Transform

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 in fault diagnosis and detection is the fault information extraction. In order to overcome the heavy computation drawback of traditional Fourier transform and wavelet transform, the Hilbert-huang transform and EMD was used to detect the fault information in this paper. The simulation model of three-phase short-circuit fault information detection system was established using Matlab/simulink, and the fault detection based on Hilbert-huang transform result was verified by programming. The results show that the method not only can detect the fault information accurately, but it is simple also. This method has more practical value.