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Method for Estimating a Residual Resource of Induction Motor Winding Insulation Based on Capacitive Leakage Currents

机译:基于电容漏电流估计感应电动机绕组绝缘的剩余资源的方法

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The paper presents an approach to estimating resource expenditure and predicting the induction motors windings insulation residual life based on the measurement of capacitive leakage currents created by a continuous sequence of rectangular voltage pulses. Experiments show an exponential decrease in leakage currents due to the development of insulation degradation processes in the long term. It was proposed to estimate the residual resource value using a modeling exponent, whose parameters are determined in the current time mode using parameter identification methods such as the least squares method (OLS) or methods based on the Kalman algorithm. The advantage of the proposed method is the comparative simplicity of the technical means used and the ability to assess the residual life of the winding insulation, relying only on the data experimentally obtained through measurement. The article describes the operation of the algorithm for the prediction of the insulation condition based on the parameters identification of the modeling exponent.
机译:本文介绍了一种估计资源支出的方法,并根据通过连续矩形电压脉冲的连续序列产生的电容漏电流的测量来估计电源支出和预测感应电动机绕组绝缘寿命。实验表明,由于长期的绝缘劣化过程的发展,漏电流的指数下降。建议使用建模指数来估计剩余资源值,其参数在当前时间模式中使用诸如基于卡尔曼算法的最小二乘法(OLS)或方法的当前时间模式。所提出的方法的优点是所用技术装置的比较简单,以及评估绕组绝缘体的剩余寿命的能力,仅依赖于通过测量实验获得的数据。本文介绍了基于建模指数的参数识别来预测绝缘条件的算法的操作。

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