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The Kalman filter as a way to estimate the life-model parameters ofinsulating materials and system

机译:卡尔曼滤波器作为估计绝缘材料和系统寿命模型参数的一种方法

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The Kalman filter algorithm is applied to linear life models,nvalid for insulating materials subjected to electrical and multiplenthermal-electrical stresses. Expressions for the state-space equations,nand then for the prediction and updating equations, are obtained on thenbasis of inverse-power and exponential models, thus providing a usefulntool for insulating-material characterization. In particular, thenextrapolation to stresses lower than the test stresses and thenestimation of the endurance coefficient become very sensitive to thentest results at the lowest stresses, thus providing evaluations whichncould be more representative of the service conditions than the normalnregression procedure. Examples are reported relevant to the results ofnlife tests performed on XLPE (cross-linked polyethylene) cable models
机译:卡尔曼滤波算法应用于线性寿命模型,对承受电应力和多重热电应力的绝缘材料无效。然后在反幂和指数模型的基础上获得状态空间方程的表达式,然后是预测和更新方程的表达式,从而为绝缘材料的表征提供了有用的工具。特别是,外推到比测试应力低的应力,而耐力系数的选择对最低应力下的测试结果变得非常敏感,因此提供了比正常回归过程更能代表服务条件的评估。报告了与在XLPE(交联聚乙烯)电缆模型上进行的nlife测试结果相关的示例

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