Xueming LI, Kan LIU, Shaolong XU, et al. Research on Real-time Diagnosis and Protection Strategy of Line-side Over-current Fault of Train Traction System. [J]. Electric Drive for Locomotives 0(6):81-86(2021)
DOI:
Xueming LI, Kan LIU, Shaolong XU, et al. Research on Real-time Diagnosis and Protection Strategy of Line-side Over-current Fault of Train Traction System. [J]. Electric Drive for Locomotives 0(6):81-86(2021) DOI: 10.13890/j.issn.1000-128x.2021.06.011.
Research on Real-time Diagnosis and Protection Strategy of Line-side Over-current Fault of Train Traction System
At present, the line-side over-current faults of locomotives and EMUs traction system have the problem that the diagnosis and protection methods are single and the speci fic fault source cannot be accurately located. So a real-time diagnosis method based on decision tree model was proposed. Based on the off-line analysis of the related line-side over-current fault related signals,the fault characteristics were obtained and the decision tree model was established; The real-time acquisition of signals in the process of operation and the calculation of their fault characteristics were carried out, then based on the decision tree model, the accurate fault location was realized; And different protection strategies were adopted according to the fault diagnosis results, so as to achieve the optimal protection and isolation of faults. The field test results show that the method is simple and effective, can realize real-time accurate fault diagnosis and optimal protection, and greatly improve the train availability and intelligence level.
关键词
动车组故障诊断牵引系统实时诊断网侧过流决策树诊断模型
Keywords
EMUsfault diagnosistraction systemreal-time diagnosisline-side over-currentdecision tree diagnosis model
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