TANG Liezheng, RUAN Jiangjun, QIU Zhibin, et al. Application of Support Vector Machine in Breakdown Voltage Prediction of Complex Air Gap[J]. High voltageapparatus, 2017, 53(12): 175-180+187.
TANG Liezheng, RUAN Jiangjun, QIU Zhibin, et al. Application of Support Vector Machine in Breakdown Voltage Prediction of Complex Air Gap[J]. High voltageapparatus, 2017, 53(12): 175-180+187. DOI: 10.13296/j.1001-1609.hva.2017.12.029.
Application of Support Vector Machine in Breakdown Voltage Prediction of Complex Air Gap
To obtain breakdown characteristics of complex air gap with floating metals
a prediction model for the breakdown voltages of the complex air gap was established based on support vector machine and electric field features.The gap structure was characterized by electric field features and the relationship between the breakdown voltage
and the electric field features was constructed by support vector machine.Taking some typical gaps as the training sample data
the breakdown voltages of rod-plane-sphere gaps
rod-plane-rod gaps and sphere-plane-sphere gaps were predicted.By comparing with the test data
the mean absolute percentage errors of the predicted breakdown voltage of the three kinds of gaps are 4.5%
3.1% and 2.8%
respectively
and the maximum relative error is within 9%
showing a high accuracy of the prediction method.This study may provide a new approach to predict the complex air gap breakdown voltage.