轨道交通车辆健康诊断及智能维护系统
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摘要
介绍轨道交通健康诊断系统的组成结构,主要包括车载检测系统、轨旁检测系统、数据分析中心及资产管理系统;介绍主要采用的算法、系统的技术要求及采用的平台软件;介绍系统能够实现的功能:主要有实时支持、离线支持和长期维护支持3种不同模式,用以解决不同迫切程度的故障。该系统不仅实现数据自动下载和自动分析,关键可以实现故障预测维护,避免故障影响运营。该系统应用到轨道交通后,可提升车辆的可用性、管理效率和维修效率,并且能够节约成本、优化设计和提升服务质量。
This article studies the health diagnosis and intelligent maintenance system for railway traffic by explaining the system and its structure. The system is composed of four major parts: on-board detection system, wayside detection system, data analysis center, and asset management system. The article also introduces the technical requirements of the system and the software platform used by it. It discusses the functionality of the system, which mainly offers real-time support, offline support, and long-term maintenance, so as to solve the faults of different degrees of urgency. The algorithm used in the system is described. This system not only ensures that the data are downloaded and analyzed automatically, but also ensures predictive repair to avoid the non-utilization of a train. If the transportation system is implemented, it will improve the availability of the trains, increase the management and repair efficiency, save costs, optimize the design, and improve the service quality.
This article studies the health diagnosis and intelligent maintenance system for railway traffic by explaining the system and its structure. The system is composed of four major parts: on-board detection system, wayside detection system, data analysis center, and asset management system. The article also introduces the technical requirements of the system and the software platform used by it. It discusses the functionality of the system, which mainly offers real-time support, offline support, and long-term maintenance, so as to solve the faults of different degrees of urgency. The algorithm used in the system is described. This system not only ensures that the data are downloaded and analyzed automatically, but also ensures predictive repair to avoid the non-utilization of a train. If the transportation system is implemented, it will improve the availability of the trains, increase the management and repair efficiency, save costs, optimize the design, and improve the service quality.
引文
[1]曾嵘.机车状态监测、智能诊断与维护支持系统的研究与设计[D].长沙:中南大学,2008.ZENG Rong.Research and design of locomotive status monitoring,intelligent diagnosis and maintenance support system[D].Changsha:Central South University,2008.
[2]李帅.轨道交通车站关键设备智能监控和健康维护系统的研究[D].上海:东华大学,2011.LI Shuai.A study on intelligent surveillance and health maintenance system for key equipments of rail transit station.Shanghai:Donghua University,2011.
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[9]ZHANG Y,QIN Y,CHENG X,et al.Correlation analysis between catenary irregularities and pantograph-catenary contact forces based on improved NARX neural network[J].China railway science,2012,33(3):84-91.
[10]梅继雄.轨道交通自动门的远程智能监控、诊断与维护系统研究[D].南京:南京理工大学,2004.MEI Jixiong.Remote intelligent monitoring,diagnosis and maintenance system for rail traffic automatic doors[D].Nanjing:Nanjing University of Science and Technology,2004.
[11]蒋超.轨道交通自动门远程监控系统中的智能故障诊断技术研究[D].南京:南京理工大学,2004.JIANG Chao.Intelligent fault diagnosis technology for rail automatic door remote monitoring systems[D].Nanjing:Nanjing University of Science and Technology,2004.
[2]李帅.轨道交通车站关键设备智能监控和健康维护系统的研究[D].上海:东华大学,2011.LI Shuai.A study on intelligent surveillance and health maintenance system for key equipments of rail transit station.Shanghai:Donghua University,2011.
[3]刘毅斌.电力机车电气部分故障诊断专家系统的研究[D].长沙:中南大学,2009.LIU Yibin.Research on fault diagnosis expert system of the electric locomotive electrical part[D].Changsha:Central South University,2009.
[4]杨连报.高速铁路信号系统大数据规范化研究与运维决策支持[D].北京:北京交通大学,2015.YANG Lianbao.Standardization of Big Data of Highspeed Railway Signal System and Maintenance Decision Support.Beijing:Beijing Jiaotong University,2015.
[5]刘志亮,潘登,左明健,等.轨道车辆故障诊断研究进展[J].机械工程学报,2016,52(14):134-146.LIU Zhiliang,PAN Deng,ZUO Mingjian,et al.A Review on fault diagnosis for rail vehicles[J].Journal of mechanical engineering,2016,52(14):134-146.
[6]杜林森.轨道车辆健康诊断系统的研究[D].成都:西南交通大学,2013.DU Linsen.The research of health diagnosis system for the railway vehicles[D].Chengdu:Southwest Jiaotong University,2013.
[7]邵一琨.基于模糊逻辑的地铁列车牵引供电系统关键结构故障诊断[D].北京:北京交通大学,2011.SHAO Yikun.Fault diagnosis based on fuzzy logic for traction power supply system key structures of subway rail vehicles[D].Beijing:Beijing Jiaotong University,2011.
[8]张乳燕.地铁车辆牵引系统故障诊断技术及系统的研究[D].北京:北京交通大学,2009.ZHANG Ruyan.Study on fault diagnosis technologies and systems for subway rail vehicle traction systems[D].Beijing:Beijing Jiaotong University,2009.
[9]ZHANG Y,QIN Y,CHENG X,et al.Correlation analysis between catenary irregularities and pantograph-catenary contact forces based on improved NARX neural network[J].China railway science,2012,33(3):84-91.
[10]梅继雄.轨道交通自动门的远程智能监控、诊断与维护系统研究[D].南京:南京理工大学,2004.MEI Jixiong.Remote intelligent monitoring,diagnosis and maintenance system for rail traffic automatic doors[D].Nanjing:Nanjing University of Science and Technology,2004.
[11]蒋超.轨道交通自动门远程监控系统中的智能故障诊断技术研究[D].南京:南京理工大学,2004.JIANG Chao.Intelligent fault diagnosis technology for rail automatic door remote monitoring systems[D].Nanjing:Nanjing University of Science and Technology,2004.