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基于信息融合的铁路行车安全监控体系及关键技术研究
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摘要
铁路是国民经济的大动脉,铁路运输安全是铁路工作的生命线,是建设和发展和谐铁路的重要保障。“十一五”以来,铁路部门不断加强安全监测设备和行车安全信息化系统建设,实施管理创新,加强安全风险管理,大大增强了保障铁路行车安全的能力,安全形势总体呈现稳定、有序可控的态势。近年来,由于高速铁路快速发展和大量新技术装备投入使用,人们对铁路行车安全提出了更高要求。
     本文在总结提炼铁路行车安全监控系统主要特征的基础上,结合当代信息技术发展,以进一步提高检测数据的准确性、稳定性和可用性,提高信息综合应用价值和行车安全决策水平,全面提升铁路行车安全保障能力为目标,提出一种对行车安全监控实施全方位、多层次、跨系统的信息融合,构建铁路行车安全监控体系的新思路,并给出若干相关关键技术的解决方案。本文主要研究内容和创新如下:
     1、深入分析国内、外铁路行车安全监控系统的现状和发展趋势,研究信息融合及相关安全技术基础理论,研究系统内和系统间信息融合的概念、方法和建模技术,研究提出铁路行车安全监控系统信息融合应用模式。
     2、分析我国铁路行车安全监控系统应用需求、主要特征和存在的不足,结合信息融合、物联网、人工智能等先进技术,提出基于信息融合的铁路行车安全监控体系框架;研究与行车安全监控相关系统的技术架构和数据组织形式,研究提出行车安全监控体系数据集成与信息共享解决方案。从总体框架层面为建设保障能力更高的行车安全监控系统提供一种总体解决方案。
     3、研究提出了基于目标决策的铁路行车安全监控系统信息融合模型,详细论述了铁路行车安全综合监控、综合报警评判、检测设备质量评价、车辆造修质量评价和货运安全风险评估等典型应用的信息融合建模思路、模型框架和建模方法,为信息融合技术在铁路行车安全领域的应用提供建模技术支撑。
     4、研究在铁路车辆故障诊断中应用信息融合的几个典型技术方案。提出车辆热轴综合报警方案,以提高红外线热轴报警的准确性;设计5T检测信息融合处理方案,以实现车辆造修质量综合评价;结合TPDS在客车踏面损伤监测的应用需求,提出在客车车次定位融合处理中应用BP模型和算法的方案,以提高在客车未全部安装电子标签的过渡阶段TPDS检测信息定位的准确性。
     5、研究在铁路货运计量安全检测监控系统中应用信息融合技术的方案。提出一种货运计量检测信息与确报信息匹配的流程、模型和算法,以提高检测信息与确报信息匹配率,提高检测信息利用价值:提出了货物装载状态智能报警评判的模型、算法,提高了报警的准确性;设计了车号匹配错位纠正的模型、算法,实现了车号匹配错位自动纠正;结合检测设备检测精度动态评估的应用需求,论述了利用基于D-S证据理论,建立设备检测精度动态评价模型,为评价检测设备质量提供基本依据。
Railway is the main artery of national economy. The safety of railway transportation is the lifeline of railway work, is an important guarantee for the development and construction of harmonious railway. Since the "Eleven five year", the railway departments continue to strengthen the construction of security monitoring equipment and safety information system, implement management innovation, strengthen risk management. These practices greatly enhanced the ability of the transportation safety of the railway, and security situation is generally stable, orderly and controllable. In recent years, due to the rapid development of high-speed railway and a number of new technologies and equipment put into use, people put forward higher requirements on railway operation safety.
     In order to further improve the detection accuracy, stability and availability, improve the comprehensive application of information value and safety decision level, enhance the support capability of railway transportation safety, this paper put forward a kind of information fusion method to implement the full range, multi-level, multi system of the railway safety monitoring, present a new idea of constructing the railway transportation safety monitoring system and solutions to several key technologies, based on the summarization of main characteristics of railway transportation safety monitoring system, combined with the development of modern information technology.
     In this paper, the main research content and innovation are as follows:
     1, the paper analyzes the present situation and development trend of transportation safety monitoring system at home and abroad,investigates information fusion and the relevant safety technology theory, studies the concept,method and modeling technology of information fusion for the multi levels and multisystem, and puts forward the application model of information fusion railway transportation safety monitoring system.
     2, the paper summarizes and analyzes the application demand, the main features and problems of railway transportation safety monitoring system, combined with information fusion, networking, artificial intelligence and other advanced technology, puts forward the technical architecture framework of railway safety monitoring system based oninformation fusion; studies on the Technical architecture and data organization form about railway transportation safety monitoring system and presents theintegration and information sharing solution of safety monitoring system data.The above research results provide a total solution of railway safety monitoring system from the overall framework for the construction of security level higher ability.
     3. the paper discusses the typical applications of information fusion modeling thinking, model architecture and modeling method which support of the railway transportation safety integrated monitoring, alarm detection equipment quality evaluation. vehicle manufacture and maintenance quality evaluation and cargo security risk assessment. It presents the information fusion model of railway transportation safety monitoring system based on objective decision, and provides modeling technical support for the application of information fusion technology in the field of railway transportation safety.
     4. the paper analyzes several typical technical solutions of information fusion in the railway vehicle fault diagnosis. It presents integrated alarmprograms of vehicle Hotaxle to improve the accuracy of infrared thermography axis alarm; presents5T detection information fusion programs to achieve comprehensive assessment of repair vehicles quality; combined the application requirements of TPDS in the passenger train tread damage monitoring. and presents the scheme of BP model and algorithm in train positioning fusion to improvethe accuracy of TPDS positioning information at the transitional phase the passenger trainis not fully installed electronic tag detection.
     5. the paper analyzes the scheme of information fusion technology in Railway Freight Transportation Measurement Safety Monitoring System.It presents the information processes, models and algorithms of freight transportation measuring information and reported information matching to improve matching rate of the detection information and reported information, to improve the value of detection information.it discusses the models and algorithms of cargo loading state intelligent alarm evaluation to improving accuracy of the alarm.It discusses the model and algorithm of vehicle number matching errors correction to implement automatically corrects. Combined the application requirements of dynamic evaluation to device detection accuracy, it puts forward dynamic evaluation model of device detection accuracy to provide the fundamental basis on the quality evaluation of detection device.
引文
[1].孙汉武.铁路安全检查监测保障体系及其应用研究[D].西南交通大学博士论文
    [2].村山一郎.JR东日本公司的新干线综合运输管理系统(COSMOS) [J].中国铁路.2000年第11期.
    [3].赵长波,陈雷,铁路货车安全监测与应用概论[M].北京:中国铁道出版社,2010
    [4].陈伯施,刘瑞扬.地对车安全监控体系5T系统信息整合与应用[M].北京:中国铁道出版社,2006年9月.
    [5].蒋荟,铁路车辆运行安全监控系统的研究与应用.公路交通科技,2009(增刊):1-6页
    [6].蒋荟、刘春煌、王华伟等.铁路货运计量安全检测监控系统关键技术[J].中国铁道科学.2013(4):137-144页
    [7].徐立中,林志贵,黄凤辰等.基于信息融合的水质自动检测系统体系结构[J].河海大学学报,2003(11):694-697页
    [8].孙汉武,佘振国等.铁路安全监督管理信息系统[J].中国铁道科学.2009(9):116121页
    [9].佘振国.铁路安全监督管理信息系统的设计与实现[D].北京工业大学硕士论文
    [10].韩整齐,于俊杰,李宁霞等.信息融合技术综述[J].情报杂志,2010(6):110-114
    [11].尚朝轩,毛二可,胡文华.基于多源信息融合的雷达装备故障诊断决策研究[J].计算机测量与控制,2011.19(2):344-346
    [12].张鑫,隋金雪,张岩.信息融合技术在火灾探测中的应用研究[J].中国安全科学学报,2011(6):94-99
    [13].季文献,厉小润,王晶.基于传感器信息融合技术的智能隧道监控系统[J].有色冶金设计与研究,2011.V32(4-5):141-144
    [14].杜晓坤,陈锋.两级信息融合在煤矿监测系统中的应用[J].传感器与微系统,2012.V29(7):124-127
    [15].孙大林,蒋大明.信息融合技术在智能交通安全系统中的应用[J].中国安全生产科学技术,2006.V2(4):61-64
    [16].徐志胜.安全系统工程.机械工业出版社[M].北京:2012年
    [17]].蒋荟,刘春煌,曹松.货运计量安全检测监控系统的研究与实现[J].中国铁路.2008.07,22-25
    [18].于洪珍,徐立中,王慧斌.监测监控信息融合技术.清华大学出版社.2011年
    [19].李弼程.黄洁.高世海等.信息融合技术及其应用.国防工业出版社.2009年
    [20].李辉,潘恺,张新.基于模糊理论的多传感器信息融合算法[J].计算机工程与应用,2012,48(10):128-131
    [21].王云飞,李辉,李云彬.利用模糊推理的证据理论信息融合算法[J].计算机工程与应用,2010,46(36):144-146
    [22].杨风暴,王肖霞.D-S证据理论的冲突证据合成方法[M].北京:国防工业出版社.2010
    [23].张德丰等,MATLAB神经网络应用设计[M].北京:机械工业出版社,2012
    [24].周润景,张丽娜.神经网络及聚类设计.电子工业出版社[M].北京:2010年
    [25].杜栋,庞国华,吴炎.现代综合评价方案与案例精选[M].北京:清华大学出版报社2012年
    [26].张殿业.金健.杨京帅.铁路运输安全理论及技术体系.中国铁道科学,2005,26(3)
    [27].赵长波.陈雷.5T货车综合运用探讨.[J].铁道车辆.2008(12):16-18页
    [28].蒋荟,王华伟,王志华等.铁路货运计量安全检测监控系统V2.0应用探讨[J].铁路技术监督.
    [29].蒋荟,王华伟,王志华.货运计量安全检测监控系统车号匹配错位解决方案探讨[C].第六届智能交通年会论文集.2011.09
    [30].赵长波,陈雷,铁路货车轴温探测与应用概论[M].北京:中国铁道出版社,2010
    [31].余明贵,陈雷,铁路货车运用与维修管理[M].北京:中国铁道出版社,2010
    [32].陈雷,赵长波,铁路货车信息化应用技术概论[M].北京:中国铁道出版社,2010
    [33].林岳松,陈林,郭宝峰.基于数据驱动的信息融合及其在车辆声辨识中的应用[J].电子与信息学报,2011.V33(9):2158-2163
    [34].陈华友.组合预测方法有效性理论及其应用[M].北京:科学出版社.2008年
    [35].周磊,陈雷,铁路货车安全管理概论[M].北京:中国铁道出版社,2010
    [36].刘瑞扬,王毓民.铁路货车运行状态地面安全监测系统(TPDS)原理及应用[M].北京:中国铁道出版社,2005年1月.
    [37].李百泉,刘瑞扬,张军.货车滚动轴承早期故障轨边声学诊断系统[J].中国铁路.2006,9:35-38.
    [38].刘瑞扬,张运刚,李百泉.货车滚动轴承早期故障轨边声学诊断系统(TADS)的原理与应用.铁道车辆.2004,42(10):30-33页
    [39].刘瑞扬.货车滚动轴承早期故障轨边声学诊断系统(TADS)的应用与展望[J].中国铁路.2004(8):]6-18页
    [40].蒋荟,王华伟,王志华.铁路货检站安全集中监控系统关键技术的研究与应用[C].第七届智能交通年会论文集.2012.09
    [41].蒋荟,王华伟,曹松,王志华.铁路货检站安全集中监控系统的应用研究[C].中国铁道科学研究院60周年学术会议论文集.2010.03
    [42].刘瑞扬.铁路货车运行故障动态图像监测系统(TFDS)原理及应用[J].中国铁路,2005,5:26-27页
    [43].刘瑞扬,客车运行安全监控系统[J].中国铁道科学.2007,28(2):15-23页
    [44].刘瑞扬,杨京.铁路客车运行安全监控系统(TCDS)原理及应用[M].北京:中国铁道出版社,2007.
    [45].刘瑞扬,车辆运行状态地面安全监测系统在京沪线的应用及展望[J].中国铁路,2004.5
    [46].宋金瑛.TPDS、TADS监控结果与车辆运行故障关联性分析[J].铁道机车车辆,2007,(02):58-61页
    [47].刘瑞扬.北美铁路车辆安全轨边检测系统的现状及思考.中国铁路.2004(7):57-60页
    [48].赵长波.陈雷.铁路货车动态检查布局与设置基本思路[J].铁道车辆.2008(4):37-40页
    [49].曲思源,张光远.铁路行车安全保障体系实施框架研究[J].铁道运输与经济,25(11):52-54页
    [50].郭孜政,唐优华,王茵,韩冰.铁路行车安全保障体系层次结构分析[J].交通标准化,2005年第6期:130-132页
    [51].邓富甲.高速铁路行车安全保障体系的基本框架及其关键技术[J].高速铁路技术,2002(5):3-5页
    [52].刘瑞扬,关于六大干线提速安全标准线地对车安全监控体系建设的思考,中国铁路,2004.12:27-33页
    [53].张殿业,金键,陈刚,郭孜政.数字化铁路行车安全保障体系研究[J].中国铁道科学,第27卷,第6期:91-94页
    [54].黎国清.王卫东.利用科学技术装备保障铁路行车安全.中国铁道科学,1999,20(4)
    [55].胡亚东.全力确保提速持续安全为推进和谐铁路建设提供可靠保障[J].铁道经济研究,2007年第4期
    [56].张殿业,金键,杨京帅.铁路运输安全理论与技术体系[J].中国铁道科学,2005,26(3):114-11页
    [57].中国铁道科学研究院电子计算技术研究所.建立行车安全监控中心研究[R].北京:中国铁道科学研究院电子计算技术研究所,2008.
    [58].刘春煌,桑苑秋,李继先等.沪宁线行车安全监控信息网络技术方案和管理中心的研究[J].中国铁道科学,2002,23(6):15-23页
    [59].桑苑秋,贾利民.高速铁路行车安全保障系统的构成[J].中国铁路,1997(12):27-31页
    [60].张孟彬.铁路行车安全综合监控系统建设探讨[J].铁路通信信号工程技术,2007(4):12-14页
    [61].穆恩生.高速客运专线的行车安全保障体系[J].世界轨道交通,2005(3):20-22页
    [62].唐会,贾元华.石太客运专线安全保障体系的探讨[J].安全与环境工程,2007年6月,14(2):101-104页
    [63].贺涛,张星臣.提速线路的安全保障体系探讨[J].铁道运输与经济,27(11):61-62页
    [64].苗宇.蒋大明.高速铁路安全保障系统初探.中国铁路,1998(12)
    [65].康文超,时孝荣,张敏.铁路货运安全监察系统的构建[J].铁道货运,2006年第6期:24-26页
    [66].康熊、管天保、黎国清,沪宁线行车安全综合监控系统的研究,中国铁道科学,2002.23(3):1-5页
    [67].李平,史天运,裴坤寿.铁路信息共享平台体系结构研究[J].中国铁路,2008,(5):24-25页
    [68].艾利锋、刘春煌、蒋荟,Web Services在行车安全综合监控系统中的应用研究,铁路计算机应用,2006,15(4):4-7页
    [69].曹松.铁路行车安全预警理论与方法研究[D].中国铁道科学研究院博士论文
    [70].曲思源.张光远.铁路行车安全保障体系实施框架研究.铁道运输与经济,2003,25(11)
    [71].张秀媛,铁路提速列车技术安全监测系统评价方法研究,中国安全科学学报,2004,14(6):27-32页
    [72].孟庆宇.德国ICE事故回眸[J].铁道知识,2006,5:23-25页
    [73].冯敬然.高速铁路安全监控系统[J].铁道通信信号,2001,37(5):6-9页
    [74].武旭,胡思继.高速铁路安全保障信息系统的研究[J].中国安全科学学报,2008,15(4):80-83页
    [75].赵吉山.肖贵平.铁路运输安全管理.中国铁道出版社.2004年:84-88
    [76].刘清,徐开金.交通运输安全.武汉理工大学出版社.2009年
    [77].艾浩军.单志广.张定安等.物联网技术与产业发展.人民邮电出版社.2011年
    [78].徐德蜀.安全科学与工程导论.北京:化学工业出版社,2004.
    [79].潘泉,梁彦,杨峰等.现代目标跟踪与信息融合[M].北京:国防工业出版社,2009年
    [80].李宁.基于多源信息融合的复杂系统安全监测及诊断方法研究[D].云南大学硕士论文
    [81].秦海勤,徐可君,隋玉松等.基于系统信息融合的滚动轴承故障模式识别[J].振动、测试与诊断,2011.V31(3):372-377页
    [82].范秋芳.中国石油安全预警机对策研究[D].中国科学技术大学博士论文
    [83].张燕军,张彦斌,郭德卿.基于隶属度函数的数据融合方法探讨[J].微计算机信息,2007(23):208-210页
    [84].黄光球,朱擎.基于信息融合技术的动态安全态势评估模型[J].微计算机信息,2010.V23(3-1):27-29页
    [85].方凌,赖际舟,张小山等.基于故障状态检测的惯性-卫星信息融合技术[J].江苏大学学报,2011.V32(1):94-99页
    [86].尚朝轩,赖壮志,胡文华.基于状态监测与信息融合的雷达装备故障趋势预测[J].火力与指挥控制,2011.V36(2):152-155页
    [87].曹松,马千里,蒋荟,刘春煌.超偏载集中监控系统的研究[J].铁道学报.2010.3(EI:20103013093768)
    [88].杨菊花,盖宇仙,陈光武.青藏铁路综合安全监控系统的研究与设计[J].计算机工程与设计,2011.V32(2):549-553页
    [89].杨永生.多通道信息融合技术在故障诊断中的应用[J].光机电信息,2011.V28(3):52-57页
    [90].徐晓滨,王玉,成,文成林.多通道信息融合技术在故障诊断中的应用[J].2011.V28(4):504-510页
    [91].鲍洁,任玉艳.基于决策支持的信息融合系统的研究[D].博士.专家论坛,
    [92].申志军,杨林,山秀明.一种基于信息融合的安全信息管理模型[J].微计算机信息,2008.V24(5-3):52-54页
    [93].马琳茹,杨林,王建新.多源异构安全信息融合关联技术研究[J].系统仿真学报,2008.V20(4):981-986页
    [94].赵平,裴晓丽,薛剑.基于信息融合的建筑施工安全预警管理研究[J].中国安全科学学报,2009.V19(10):106-111页
    [95].黄继鸿,雷战波,凌超.经济预警方法研究综述[J].系统工程,2003(3):64-69页
    [96].胡晓依,何庆复,王华胜,等..基于STFT的振动信号解调方法及其在轴承故障检测中的应用.振动与冲击,2008.27(2):82-86页
    [97].丁福焰,张生玉,邵军.基于神经网络的车辆轴承故障诊断技术.铁道车辆,2006.44(12):7-11.
    [98].丁夏完,刘葆,刘金朝,等.基于自适应STFT的货车滚动轴承故障诊断.中国铁道科学,2005.26(6):24-27页
    [99].范文明,邓立,孟庆江.铁路货车滚动轴承故障对行车安全的影响及防范.铁道技术监督,2004(4):35-36页
    [100].刘金朝,丁夏完,王成国.自适应共振解调法及其在滚动轴承故障诊断中的应用.振动与冲击,2007.26(1):38-41页
    [101]. 李岩.冬季车辆热轴预报增多的原因分析.哈尔滨铁道科技,2008(1):9-10页
    [102]. 刘祥峰,邓立,皮凤石.货车滚动轴承迷宫式密封装置引发热轴原因分析和对策.铁道技术监督,2004(11):13页
    [103]. 宋晓波.120km/h货物列车轴温分析与热轴预报.铁道车辆,2008.46(3):33-36页
    [104]. 田军.对HBDS—Ⅱ型热轴探测系统中温度曲线和热轴判别标准设置的建议.铁道车辆,2005.43(8):43-44页
    [105]. 韦皓,宋立成.红外线探测热轴预报标准的分析与讨论.机车车辆工艺,2007(3):29-30.
    [106]. 郭志洪.红外线轴温探测预报兑现率的分析.铁道车辆,2007.45(10):40-41.
    [107]. 陈汉中.南昆线红外线微热异常报警偏多的整改.铁道运营技术,2007.13(4):27-29.
    [108]. Edwards, Mark C.Improving freight rail safety with on-board monitoring and control systems, American Society of Mechanical Engineers.2005, vol 29
    [109]. Rizzo, Piervincenzo, Laser-air-coupled hybrid noncontact system for defect detection in rail tracks, National Research Council,2006
    [110]. King. Stephen, The UK's fastest track monitoring system as used on the channel tunnel rail link, Institution of Electrical Engineers,2004(4):29-42
    [111]. French. Simon, Channel Tunnel Rail Link:The case for safety, Thomas Telford Services Ltd, 2003(156):49-53
    [112]. 潮崎俊也.日本新干线的安全系统[J].中国铁路.2000年第3期.
    [113]. A machine vision system for automated joint bar inspection from a moving rail vehicle, American Society of Mechanical Engineers,2007
    [114]. Taguchi Akio, DEVELOPMENT OF A TRAIN DETECTION SYSTEM ANDA SPREAD SPECTRUM TRANSMISSION SYSTEM FOR TRACK CIRCUIT,1997
    [115]. 李士祥、毛俊杰,美国铁路列车白动控制系统的发展从ATCS到PTC,中国铁路,2001(1):53-55页
    [116]. [日]内田清五,日本新干线列车制动系统,陈贺、李毅等译,中国铁道出版社,2004.1
    [117]. S. Shimagaki, D. Watanabe, Assurance Technologies for Autonomous Train On-board Computer System, IEEE Computer Society Washington, DC, USA,2001
    [1 1 8]. 俞平.铁路行车安全事故分析及对策研究.西南交通大学工程硕士学位论文,2002年:59-61
    [119]. Liu Ruirang.Roller Bearing Detection and Maintenance Using Acoustic Condition Monitoring on the Chinese Railways[C]. The 7th International Heavy Haul Association Conference Publication
    [120]. Qian Lixin, Kang Xiong, Wan Lan.Safety Monitoring Systems On Cr Existing Lines[[C]. The 7th International Heavy Haul Association Conference Publication,
    [121]. Liu Ruiyang. The Formation of Grand-to-Train Safety Monitoring System in China[C]. The 7th International Heavy Haul Association Conference Publication,
    [122]. Stasha Jovanovic. Track Quality Analysis and consequent Dicision Making[C]. The 7th International Heavy Haul Association Conference Publication,
    [123]. John Donelson, Mark C. Edwards, Mark Filkins. On-Board Condition Monitoring System Performance in a Revenue Service Demonstration[C]. The 7th International Heavy Haul Association Conference Publication,
    [124]. Manuel Soler, Jose Moreno. Track Performance Detector-A Tool to Improve Safety and Increrase Efficiency[C]. The 7th International Heavy Haul Association Conference Publication,
    [125]. Giuseppe Auristicchio MER MEC S.p.A, Jose'Henrique P. da Luz. Innovative Infrastructure Monitoring Systems for Imoroved Operation and Safety in CVRD[C]. The 7th International Heavy Haul Association Conference Publication,
    [126]. Stephen Marich. Major Advances in Rail Techologies Achieved in the Past 10-20 Years[C]. The 7th International Heavy Haul Association Conference Publication,
    [127]. Zhou Lei.Analysis and Discussion on Safety and Protection System Construction of Heavy Freight Car Operation in Da-Qin Railway[C].The 9th International Heavy Haul Association Conference Publication
    [128]. ZHAOChangbo, CHENLei Freight car safety assurance system of heavy-haul transportation on Da-Qin[C].The 9th International Heavy Haul Association Conference Publication
    [129]. Chen Lanhua.Study and Practice on Operation Safety Management of High-speed Railway in China[C].The 7th World Congress on High Speed Rail, Beijing 2010,
    [130]. Geng Zhixiu. China High-Speed Railway Safety Technology System[C]..The 7th World Congress on High Speed Rail, Beijing 2010,
    [131]. Anew era for high-speed trains [J]. Railwatch July 2007, railfuture 17.
    [132]. A report on high-speed rail links in the UK [J].ICE
    [133]. Tom Sullivan. High-speed traintakes off [N].ISA SENSOR TECHNOLO
    [134]. A.F. de Kort, B. Heidergott, H. Ayhan.A probabilistic (max,+) approach for determining railway infrastructure capacity [J].European Journal of Operational Research,148 (2003):644■661.
    [135]. Marko Heiden, Luis Simoes, Martin Pircher, Heinz Pircher. Dynamic behaviour of steel trussed railway bridges due to the passage of high speed trains [J].
    [136]. Fausto Pedro Garcia Marquez, Paul Weston, Clive Roberts. Failure analysis and diagnostics for railway trackside equipment [J]. Engineering Failure Analysis 14 (2007) 1411-1426
    [137]. Uwe Zerbst, Katrin MCadler, Hartmut Hintze. FFracture mechanics in railway applications—an overviewt[J]. Engineering Fracture Mechanics 72 (2005) 163-194
    [138]. XIU Luo, Study on methodology for running safety assessment of trains in seismic design of railway structures [J]. Soil dynamics and earthquake engineering 25 (2005) 79-91.
    [139]. Lynne Collis, Paul Robins.DEVELOPING APPROPRIATE AUTOMATION FOR SIGNALLING AND TRAIN[J]. People in Control:An International Conference on Human Interfaces in Control Rooms, Cockpits and Command Centres 19-21 June 2001, Conference Publication No.4810 IEE 2001.
    [140]. Fausto Pedro Garcia Marquez, Paul Weston, Clive Roberts. Failure analysis and diagnostics for railway trackside equipment[J]. Engineering Failure Analysis 14 (2007) 1411-1426.
    [141]. F. Vanderhaegen. APRECIH:a human unreliability analysis method-application to railway system[J]. Control Engineering Practice,7 (1999):1395-1403.
    [142]. Fateh Kaakai, Said Hayat, Abdellah El Moudni. A hybrid Petri nets-based simulation model for evaluating the design of railway transit stations [J]. Simulation Modelling Practice and Theory, 15(2007):935-969.
    [143]. A. Pasquini, A. Rizzo, L. Save. A methodology for the analysis of SPAD[J]. Safety Science, 42 (2004):437-455.
    [144]. J. Herb, U. Hoppmann, C.Heine, T. Tielkes. A new approach to estimate the wind speed probability distribution along a railway track based on international standards[J]. Journal of Wind Engineering and Industrial Aerodynamics 95 (2007):1097-1113.
    [145]. F. Vanderhaegen. A non-probabilistic prospective and retrospective human reliability analysis method — application to railway system[J].Reliability Engineering and System Safety,71 (2001):1-13.
    [146]. W. Ian Hamilton, Theresa Clarke.Driver performance modeling and its practical application to railway safety [J]. Appliced Ergonomics 36(2005):661-670
    [147]. Bela Vincze, Geza Tarnai. Evolution of train control systems[J]
    [148]. Trudi Farrington-Darby, Laura Pickup, John.R.Wilson. Satety culture in railway maintenance. Satety Science 43 (2005) 39-60.
    [149]. John R. Wilson, Beverley J. Norris. Rail human factors:Past, present and future. Applied Ergonomics 36 (2005) 649-660.
    [150]. F. Vanderhaegen. A non-probabilistic prospective and retrospective human reliability analysis method — application to railway system[J].Reliability Engineering and System Safety, 71 (2001):1-13.
    [151]. J. Herb, U.Hoppmann, C.Heine, T.Tielke. A new approach to estimate the wind speed probability distribution along a railway track based on international standards[J]. Journal of Wind Engineering and Industrial Aerodynamics 95 (2007) 1097-1113:2-10.
    [152]. Jacques J. Durand, Stephane Romei. An Innovative European Rail Industry Safety Management System[J].0-7803-9766-5/07/$25.00 2007 IEEE:341-343.
    [153]. Jean-Claude Sagot, Vale'rie Gouin, Samuel Gomes. Ergonomics in product design:safety factor[J]. Safety Science 41 (2003) 137-154.
    [154]. J. Chen, C. RobertsP. Weston. Fault detection and diagnosis for railway track circuitsusing neuro-fuzzy systems[J]. Control Engineering Practice 16 (2008) 585-596.
    [155].黄采伦,樊晓平,陈特放著.列车故障在线诊断技术及应用[M].北京:国防工业出版社,2006.
    [156]. Jiang Hui, Liu Chun-huang, Wang Hua-wei Wang Zhi-hua.Research on Dynamic Inspection and Monitoring Key Technologiesof Railway Freight Loading Status[C]. The International Conference on Computational Intelligence and Software Engineering (CiSE 2012). 2012.12
    [157]. 蒋荟,王志华,王华伟.基于短信的铁路装车安全隐患告警系统的研究与应用[J].中国铁路2010.08,P34-37页
    [158]. 王华伟,蒋荟.铁路货运计量及安全检测设备管理平台的研究与实现[C].第六届智能交通年会论文集.2011.09
    [159]. 宁静,佘振国,蒋荟.属性数学在铁路交通安全综合评价中的应用[J].铁路计算机应用.2011.4,P17-20页

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