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    • 1. 发明申请
    • PROFILING TRANSFORMER OF POWER SYSTEM
    • 电力系统变压器
    • US20160005522A1
    • 2016-01-07
    • US14443816
    • 2013-11-19
    • Aldo DAGNINOLuiz CHEIMLan LINPoorvi PATEL
    • Aldo DagninoLuiz CHEIMLan LINPoorvi PATEL
    • H01F27/12G05B13/02
    • H01F27/12G05B13/027H01F2027/406
    • Method and system for predicting an oil temperature of a transformer for a desired load and/or predicting a load that a transformer can support for a desired time. A machine learning algorithm is developed using historical data of a transformer. After the algorithm is developed, historical data corresponding to the transformer are input into the algorithm to develop a profile of the transformer describing how the temperature of oil within the transformer is expected to change as a function of a desired load. Using the profile, the of temperature of the transformer is predicted for a desired load. In this way, a prediction is made as to whether and/or for how long a transformer may support a desired load before the oil temperature reaches a specified threshold and/or before the transformer fails due to the load.
    • 用于为所需负载预测变压器油温的方法和系统和/或预测变压器可以支持期望时间的负载。 使用变压器的历史数据开发机器学习算法。 在开发算法之后,将与变压器相对应的历史数据输入到算法中以开发变压器的轮廓,描述变压器内的油的温度如何作为期望负载的函数而变化。 使用轮廓,预测变压器的温度达到所需的负载。 以这种方式,预测变压器在油温达到特定阈值之前和/或变压器由于负载发生故障之前是否和/或多长时间可以支持所需的负载。