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关于交流电路电源噪声信号优化检测仿真

         

摘要

对交流电路电源噪声信号进行检测,能够高效实现交流电路性能的改善以及效率的提高.对交流电路噪声信号的优化检测,需要选取信号频带分量完成时频分布,据此计算电流信号相应尺度频段内的谱峭度值,完成对电源噪声信号的优化检测.传统方法对信号进行特征提取,建立电源噪声信号样本数据,但忽略了对电流信号谱峭度值的计算,导致噪声信号检测精度偏低.提出采用多尺度谱峭度理论的交流电路电源噪声信号优化检测方法.对交流电路信号进行滤波处理,采用自适应分解方法对集成交流电路信号进行自适应多尺度分解,选取出电源噪声信号所在频带的分量,采用选取出的信号频带分量进行时频分布,计算电流信号尺度频段内的谱峭度值,进而得到交流电路电流噪声信号位置.实验表明,该方法能够有效地对噪声信号信号进行检测,且检测精度较高,高效的完成了交流电路噪声信号的优化检测.%To detect the noise signal of AC power supply can effectively improve the performance and efficiency of AC circuit.Traditionally,methods only extract the feature of signal,but ignore the calculation of spectral kurtosis value,resulting in the low accuracy of detection in noise signal.In this paper,a method for optimizing and detecting noise signals in AC circuits based on multi-scale spectral kurtosis theory was proposed.Firstly,we filtered the wave of signal in AC circuit,and used the adaptive decomposition method for multi-scale adaptive decomposition of integrated signal in AC circuit.Secondly,we chose the component of frequency band where noise signal of power supply was.Thirdly,the signal frequency band component which we selected was used for time-frequency distribution.Moreover,we calculated of spectral kurtosis value in frequency band of current signal,so as to get the position of noise signal in AC circuit.Experiments show that this method can detect noise signals effectively.It has high accuracy of detection,which completes the optimization and detection of noise signals in AC circuits efficiently.

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