利用电流法诊断电机及其拖动设备故障时,较弱的故障特征频率分量往往被电网工频所淹没。本文运用了一种有效的弱故障特征提取方法,即通过奇异值分解(singu lar value decomposition,简称SVD)方法剔除电网工频主分量,从而对信号中的弱特征频率、特别是靠近电网工频的特征频率实现有效地提取。数值仿真计算和现场实际信号的应用结果都表明,应用SVD方法可以非常有效地达到这一目的。
【英文摘要】
While using MCSA(motor current signal analysis) to diagnose the mechanical faults,the weak fault symptoms are often submerged by power frequency.A new method for extracting the weak fault symptoms of current signal in the case of current diagnosis was presented.By means of SVD(singular value decomposition) method,the power frequency was effectively eliminated meanwhile the weak features were effectively extracted.The computer simulation and a practical application were described,which indicates SVD method c...
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