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Condition Monitoring of Stator Winding Insulation in High Voltage Rotating Machines Using BPN Algorithm

机译:基于BPN算法的高压旋转机定子绕组绝缘状态监测。

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摘要

The condition of the insulation of an machine can be assessed by measuring the various parameters of the insulation like capacitance, leakage current, dissipation factor, polarization index, surge voltage with standing strength etc. To assess these parameters of the insulations used in high voltage rotating machines a number of measurements have been conducted on actual stator coils of machines manufactured using resin rich technology for various test voltages, the capacitance and dissipation factors were measured and correlated as a function of test voltages. Attempts were made using Neural Network tool to predict the possibilities of establishing a correlation between the applied test voltage and the maximum variation of capacitance and dissipation factor in relation to the volume of the air filled voids in the insulation.
机译:可以通过测量绝缘的各种参数(例如电容,泄漏电流,耗散因数,极化指数,具有耐压强度的浪涌电压)来评估机器的绝缘状况。要评估高压旋转中使用的绝缘的这些参数在使用多种树脂的富树脂技术制造的机器的实际定子线圈上,已经对各种测试电压进行了许多测量,测量了电容和耗散因数,并将其与测试电压相关联。使用神经网络工具进行了尝试,以预测在施加的测试电压与电容和耗散因数的最大变化之间建立相关性的可能性,该相关性与绝缘体中空气填充空隙的体积有关。

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