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The prediction of power distribution transformer faults frequency based on high-order Markov

机译:基于高阶马尔可夫的配电变压器故障频率预测

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The accurate prediction of power distribution transformer faults frequency would bring certain economic benefits for electronic companies' production run, in order to avoid outer factors affecting prediction results, high-order Markov is applied to prediction. Firstly we make some preprocessing for the historical series of faults frequency to eliminate their outlier; Then we do the clustering, dividing the historical data into five classifications, next use high-order Markov model to forecast faults frequency and analysis the deviation.
机译:配电变压器故障频率的精确预测将为电子公司生产运行带来一定的经济效益,以避免影响预测结果的外部因素,高阶马尔可夫应用于预测。首先,我们为历史频率频率进行了一些预处理,以消除其异常值;然后我们做群集,将历史数据划分为五个分类,下一步使用高阶马尔可夫模型来预测故障频率并分析偏差。

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