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EMD算法在检测电力故障信号中的应用

EMD Algorithm in the Application of Fault Signal Detection in Electricity
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摘要 分析了电力系统中常见的几种故障类型,研究提出了利用EMD分解正确定位信号故障点的方法。该方法将故障信号分解成几个IMF分量,然后使用希尔伯特变换求出信号的时频关系,从而正确定位信号的故障点。Matlab的仿真结果表明,提出的方法能够更加准确地检测出突变信号,从而正确定位出信号的故障点。 Several common fault types in the electricity system and their corresponding simulation diagram of fault signal are introduced.By using EMD decomposition method,Fault signal can be decomposed into several IMF components,and then by using the Hilbert transform,the relationship of time and frequency can be obtained which correctly locates the points of failure.At last we give out the Matlab simulation results which show the method can be applied to detect the sudden change points of fault signal.
出处 《电子器件》 CAS 北大核心 2012年第5期567-570,共4页 Chinese Journal of Electron Devices
基金 国家自然科学基金项目(60872073 60975017 51075068) 教育部博士点专项基金项目(20110092130004)
关键词 故障信号 EMD 希尔伯特变换 the fault signal EMD Hilbert transform
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参考文献8

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