求翻译：为了检测所提出的基于AR模型参数递推辨识方法对感应电机轴承故障振动信号跟踪的有效性，用递递推参数模型的预测值与采样值进行比较后得到残差，然后求出残差的自协方差如图8所示，其值具有收敛到零的性质，说明用Kalman滤波对电机振动信号进行递推参数模型辨识是有效的。是什么意思？

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In order to test the proposed based on AR model parameter of the identification method of induction motor bearing failure vibration signal tracking the effectiveness and delivery of the parameters of the model predicted value with sample values to compare the stubble, and then the residual of the co

In order to examine based on the AR model parameter recursion identification method which proposed to the asynchronous machine bearing breakdown vibration tracing validity, after hands over the recursion parameter model the forecast value and the sampling value carries on the comparison to obtain th

To detection by proposed of based on AR model parameter handed pushed identification method on induction motor bearing fault vibration signal track of effectiveness, with handed handed pushed parameter model of forecast value and sampling value for compared hòu get residual poor, then seeking out re

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