[1]秦方方,李学明,李 鹏. 列车供电系统接地绝缘故障实时诊断与预测[J].控制与信息技术,2020,(04):1.[doi:10.13889/j.issn.2096-5427.2020.04.300]
 QIN Fangfang,LI Xueming,LI Peng. Real Time Diagnosis and Prediction of Grounding Insulation Fault in Train Power Supply System[J].High Power Converter Technology,2020,(04):1.[doi:10.13889/j.issn.2096-5427.2020.04.300]
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 列车供电系统接地绝缘故障实时诊断与预测()
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《控制与信息技术》[ISSN:2095-3631/CN:43-1486/U]

卷:
期数:
2020年04期
页码:
1
栏目:
出版日期:
2020-08-31

文章信息/Info

Title:
 Real Time Diagnosis and Prediction of Grounding Insulation Fault in Train Power Supply System
作者:
 秦方方李学明李 鹏
 (株洲中车时代电气股份有限公司,湖南 株洲 412001)
Author(s):
 QIN Fangfang LI Xueming LI Peng
 ( Zhuzhou CRRC Times Electric Co., Ltd., Zhuzhou,Hunan 412001, China )
关键词:
 供电系统接地绝缘故障诊断故障预测
Keywords:
 power supply system grounding insulation fault diagnosis fault prediction
分类号:
U260.4+9
DOI:
10.13889/j.issn.2096-5427.2020.04.300
文献标志码:
A
摘要:
 针对列车供电系统现有接地绝缘故障检测存在的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,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。通过利用不同类型故障的相关信号特征,设计与各类故障相关的特征量并构造相应诊断与预测模型,实现各种故障的检测与准确定位以及故障趋势的实时预测。最后通过仿真测试验证了所提方法的有效性。
Abstract:
 In order to solve the problem of fault location and real-time evaluation of fault development trend, a real-time diagnosis and prediction method based on signal feature pattern recognition is proposed. By using the related signal characteristics of different types of faults, the characteristic quantity 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 test.

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备注/Memo

备注/Memo:
 收稿日期:2020-01-10
作者简介:秦方方(1983—),男,工程师,主要从事机车车辆电气系统研发工作。
更新日期/Last Update: 2020-07-31