摘要
随着高铁线路的增多,高铁运行故障监控和预警尤为重要。其中高铁牵引变电器的故障预测因受多工况、运行交路状况、检修记录等因素影响,难以实现单一机理模型准确预测。本文提出了一种基于流计算的高铁牵引变电器多工况机理模型,在高速运行的高铁中可以实时实现牵引变电器故障监控和预测。实际运用表明,该方法有效提高了监控故障准确率和预测故障的成功率。
With the increase of high-speed rail lines, monitoring and early warning of high-speed rail operation is particularly important. The fault prediction of high-speed railway traction transformer is affected by many factors, such as multi-working conditions, operation routing conditions, maintenance records, etc. It is difficult to achieve accurate prediction of a single mechanism model. In this paper, a multi-condition mechanism model of high-speed railway traction transformer based on stream computing is proposed, which can realize real-time fault monitoring and prediction of traction transformer in high-speed railway. The practical application shows that the method can effectively improve the accuracy of monitoring faults and predict the success rate of failure.
作者
赵珂
彭清畅
姜喜民
刘光俊
ZHAO Ke1, PENG Qing-chang2., JIANG Xi-min2, LIU Guang-jun2(1. City College, Kunming University of Science and Technology, Kunming 650051, China; 2. China Railway Rolling Stock Corporation Qingdao Sifang Co. LTD, Qingdao 266111, China)
出处
《软件》
2018年第9期133-138,共6页
Software
关键词
流计算
牵引变电器
多工况
机理模型
Stream computing
Traction transformer
Multi working mode
Mechanism model
