摘要
传统电压闪变检测需要提取调幅波包络线,过程复杂,计算量大。将TAM算法直接应用于电压闪变检测,利用三角函数分解的原理,将对闪变信号的检测转化为对边频分量的检测,首先求解采样信号数据矩阵的协方差矩阵,通过对协方差矩阵进行奇异值分解得到信号子空间和噪声子空间,利用最小二乘法的原理,估计信号的频率和幅值信息,通过公式计算得到精度较高的闪变信号参数。仿真结果表明,该算法在闪变信号参数的提取中,具有较高的精确性,且运算量较小。
Traditional voltage flicker measurement need to extract the amplitude envelope,the process complex,large computation.Application of TAM in estimation of voltage flicker,using trigonometric function decomposition principle,flicker signal detection turned to side frequency component detection,first compute the covariance matrix of the sampled signal data matrix,decompose the covariance matrix through singular-value decompostion get signal sub-space and noise sub-space,the principle of least square method,estimate the frequency and amplitude information signal,calculated by the formula of high precision signal parameters flicker.The simulation results show that this algorithm can get high accuracy flicker signal parameters,and computation smaller.
出处
《电测与仪表》
北大核心
2011年第12期43-47,共5页
Electrical Measurement & Instrumentation
基金
安徽省教育厅科研基金资助项目(KJ2008B023)
安徽大学211人才队伍建设资助项目(02203105
05)
关键词
电压闪变
TAM
三角函数分解
协方差矩阵
奇异值分解
信号子空间
最小二乘法
voltage flicker
TAM
trigonometric function decomposition
covariance matrix
singular-valuedecomposition
signal sub-space
least squares method
