列车供电系统接地绝缘故障实时诊断与预测

Real-time Diagnosis and Prediction of Grounding Insulation Fault in Train Power Supply System

列车供电系统现有接地绝缘故障检测方法存在不能精确定位故障点且无法对故障发展趋势进行实时评估的问题。对此,文章提出了一种基于信号特征模式识别的接地绝缘故障实时诊断与预测方法,其利用不同类型故障的相关信号特征,设计了与各类故障相关的特征量并构造出相应的诊断与预测模型,实现对各种故障的检测与准确定位以及故障趋势的实时预测。仿真测试结果验证了所提方法的有效性。

In order to solve the problem of fault location and real-time evaluation of fault development trend,it proposed a real-time diagnosis and prediction method based on signal feature pattern recognition.By using the related signal characteristics of different types of faults,the characteristic variable related to various faults is designed and the corresponding diagnosis and prediction model is constructed,which realizes the detection and accurate positioning of various faults and the real-time prediction of fault trend.Finally,the effectiveness of the proposed method is verified by simulation.