Article(id=1308454753868992670, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308454712513156008, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2026.04.017, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1761580800000, receivedDateStr=2025-10-28, revisedDate=1769184000000, revisedDateStr=2026-01-24, acceptedDate=null, acceptedDateStr=null, onlineDate=1789889523236, onlineDateStr=2026-09-20, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789889523236, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789889523236, creator=13701087609, updateTime=1789889523236, updator=13701087609, issue=Issue{id=1308454712513156008, tenantId=1146029695717560320, journalId=1146123302524792850, year='2026', volume='39', issue='4', pageStart='1', pageEnd='197', issueExtLink='null', onlineDate='null', pubDate='1786291200000', pubDateStr='2026-08-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1789889513376, creator='13701087609', updateTime=1789889839088, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308456079029986178, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308454712513156008, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308456079029986179, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308454712513156008, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=147, endPage=152, ext={EN=ArticleExt(id=1308454754091290783, articleId=1308454753868992670, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Research on System Analysis Methods and Optimization Strategies for Braking System Faults, columnId=1152669335454658940, journalTitle=Urban Rapid Rail Transit, columnName=Academic Discussion, runingTitle=null, highlight=null, articleAbstract=

Under high-density operating conditions, single-point failures in metro vehicle braking systems may escalate from equipment-level faults to operation-level risks. Taking an imported braking system applied in the Beijing Metro as a case study, this paper proposes a system analysis and optimization method for engineering implementation. Driven by a typical operational delay event and based on system decomposition, function-structure mapping, and on-vehicle fault simulation, the propagation paths and amplification mechanisms of key risks, such as exhaust solenoid valve sticking in the brake control valve, strong coupling between the main air line and the parking brake, and braking system-TCMS signal interface mismatches, are systematically identified. A combined Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA) approach is then adopted to quantitatively evaluate these risks, with the results serving as direct constraints for system reconfiguration. Coordinated optimization measures are proposed at the software, pneumatic, and human-machine interaction levels, including an HMI-triggered braking system self-test and self-reset mechanism, feedforward diagnosis of low brake cylinder pressure, reconstruction of the parking brake air supply path using check valves, and an operation-disposal-oriented TCMS fault classification and early warning strategy. Multi-line on-vehicle validation demonstrates that, compared with the pre-optimization scheme, the proposed method increases the identification accuracy of three typical single-point faults by an average of 34.3 percentage points and reduces emergency handling time by an average of 3.1 min, significantly mitigating operational impacts such as passenger evacuation, speed-restricted operation, and delays. The established "fault simulation-risk quantification-system reconfiguration" framework provides an engineering reference for resilience-oriented design and proactive risk management of metro braking systems and other critical systems.

, authors=Haijun Yang¹, Wei Li², Chunhui Wu², Haifeng Zhang², Zhirui Guang², authorsList=Haijun Yang, Wei Li, Chunhui Wu, Haifeng Zhang, Zhirui Guang, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1308454754355531936, articleId=1308454753868992670, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=制动系统故障系统分析方法与优化策略研究, columnId=1152669335668568445, journalTitle=都市快轨交通, columnName=学术探讨, runingTitle=null, highlight=null, articleAbstract=

针对高密度运营条件下地铁车辆制动系统单点故障易由设备级问题演化为运营级风险的现象，以北京地铁某进口制动系统为对象，提出一种面向工程实施的系统分析与优化方法。以典型运营延误事件为牵引，通过系统分解与功能-结构映射，结合实车故障模拟试验，揭示制动控制阀排风电磁阀卡滞、总风路与停放制动强耦合以及制动系统与列车控制和管理系统（train control and management system, TCMS）信号接口失配等关键风险的传播路径与放大机理。在此基础上，采用失效模式与影响分析（failure mode and effects analysis, FMEA）与故障树分析（fault tree analysis, FTA）相结合的方式对风险进行量化评估，并将评估结果作为系统重构的直接约束条件，从软件逻辑、气路结构与人机交互3个层面提出协同优化方案，包括人机界面（human-machine interface, HMI）可触发的制动系统自检与自复位机制、制动风缸低压前馈诊断逻辑、基于单向阀的停放制动供风路径重构，以及面向运营处置的TCMS故障分级与预警提示优化。多线路实车验证结果表明，与优化前方案相比，实施本文所提方法后，3类典型单点故障识别准确率平均提高34.3%，应急处置时间平均减少3.1 min，清客救援、限速运行、晚点等运营影响显著降低。研究形成的“故障模拟-风险量化-系统重构”方法框架，可为城市轨道交通车辆制动系统及其他关键系统的韧性设计与主动风险管理提供工程化参考。

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杨海军，男，硕士，正高级工程师，主要从事轨道车辆电气调试和智能化产线设计工作，navy410075@163.com

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杨海军，男，硕士，正高级工程师，主要从事轨道车辆电气调试和智能化产线设计工作，navy410075@163.com

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