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作 者:程梦 周纯杰[1] 卢明舫 陈斌 CHENG Meng;ZHOU Chunjie;LU Mingfang;CHEN Bin(Post-Doctoral Research Station on Control Science and engineering,Huazhong University of Science and Technology,Wuhan Hubei 430074,China;Post-Doctoral Research Working Station,China Railway Wuhan Group Co Ltd,Wuhan Hubei 430061,China;Gemac Engineering Machinery Co Ltd,Xiangyang Hubei 441000,China)
机构地区:[1]华中科技大学控制科学与工程博士后科研流动站,湖北武汉430074 [2]中国铁路武汉局集团有限公司博士后科研工作站,湖北武汉430061 [3]金鹰重型工程机械有限公司,湖北襄阳441000
出 处:《中国铁路》2019年第10期86-93,共8页China Railway
基 金:中国铁路总公司科技研究开发计划项目(2015G003-H);金鹰重型工程机械有限公司新产品开发计划项目(2015-A023)
摘 要:铁路工程车辆在保障铁路基础设施安全高效运行方面发挥了重要作用,但是其作业具有位置分散、时间受限的特点,这使得针对车辆故障的及时处理乃至预测成为一个亟待解决的问题。铁路工程车辆是一个集电气、机械、车辆工程于一体的复杂系统,由功能各异的子系统构成,其作业状态下的实际运行速度受设定速度制约,可作为反映车辆健康状况的关键指标之一。以钢轨打磨车的工况数据为例,基于运行于不同铁路局集团公司范围内的GMC-96x型钢轨打磨车的作业数据,结合液压系统原理,分析并建立影响速度的走行四元组,对马达背压、油泵排量、马达排量的3个控制电压进行特征提取,研究走行压力、所提取的新特征与车辆运行速度间的关系,建立了车辆作业时理论走行速度估计模型。验证结果表明该模型具有较小的误差和较高的可行性。Although railway engineering vehicle plays a significant role in guaranteeing safe and efficient operation of railway infrastructure, it features dispersive location and limited time, which makes timely disposal and predication of vehicle fault a serious problem. Railway engineering vehicle is a complex system integrated with electrical, mechanical and vehicle engineering, which constitutes subsystems with various functions. Restricted by setting speed, its actual running speed can serve as a key indicator of reflecting vehicle’s health condition. Based on the operation data of GMC-96x rail grinding vehicles of different CR branch companies and hydraulic system theory, the paper takes rail grinding vehicle as an example, analyzes and establishes the running quaternion that influencing speed, carries out feature extraction of three control voltages including motor backpressure, oil pump displacement and motor displacement, studies the relationship among running pressure, new extracted features and the running speed of the vehicle and establishes theoretical running speed estimation model in operation. The result shows that the model has a relatively small error and relatively high feasibility.
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