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Novel approaches to analysis of transition processes identification error by probability-statistical methods during sudden symmetric short-circuit tests of synchronous machines

机译:同步电机突然对称短路试验中用概率统计方法分析过渡过程识别误差的新方法

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摘要

Probabilistic and statistical methods are developed for researching long transient processes in synchronous machines, occurring under the influence of various random factors. In particular, a new authentic method is explained. The method is oriented at minimizing the mean square error of approximation of the discrete statistical model of the transient component to the experimental data on a relatively long section of the discrete transition process. The model allows representing the found error in the form of a discrete surface in three dimensions.
机译:开发了概率和统计方法来研究在各种随机因素的影响下发生的同步电机中的长瞬态过程。特别地,说明了一种新的可靠方法。该方法旨在最小化瞬态分量的离散统计模型与离散过渡过程的相对较长部分上的实验数据的近似均方误差。该模型允许以三维的离散表面形式表示发现的误差。

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