Article(id=1308454768670691535, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308454712513156008, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2026.04.020, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1774540800000, receivedDateStr=2026-03-27, revisedDate=1779638400000, revisedDateStr=2026-05-25, acceptedDate=null, acceptedDateStr=null, onlineDate=1789889526765, onlineDateStr=2026-09-20, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789889526765, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789889526765, creator=13701087609, updateTime=1789889526765, 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=170, endPage=177, ext={EN=ArticleExt(id=1308454770079977680, articleId=1308454768670691535, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Weak Fault Feature Enhancement and Diagnosis of Metro Bogie Bearings under Complex Operating Conditions, columnId=1152669334582243706, journalTitle=Urban Rapid Rail Transit, columnName=Electrical and Mechanical Engineering, runingTitle=null, highlight=null, articleAbstract=

In response to the problems of obscured fault characteristics of metro bogie bearings under complex conditions, the susceptibility of original vibration signals to noise interference, and the poor generalization and high complexity of traditional diagnostic methods, an intelligent bearing fault diagnosis method integrating Eulerian Feature Extraction (EFE) and shallow convolutional neural networks is proposed. This method achieves dimensionless normalization and standardization of vibration signals through adaptive interval mapping, converts linear time series signals into a polar-coordinate phase representation using geometric phase encoding, and then constructs two feature expressions, FirstEuler and SecondEuler, through dual Eulerian feature fusion to achieve deep integration of time-domain and phase-domain features, effectively enhancing the discriminability of weak fault features. The features extracted by EFE can be directly used as input to a one-dimensional convolutional neural network or converted into grayscale images as input to a two-dimensional convolutional neural network, enabling the construction of shallow diagnostic models that balance diagnostic accuracy and efficiency. Using the Case Western Reserve University bearing dataset, fault diagnosis experiments were conducted under single-condition, multi-condition, and variable-speed operating conditions, and the proposed method was compared with traditional feature extraction algorithms such as VMD, EMD, and HT. Experimental results show that in a -6 dB strong noise environment, the EFE method improves one-dimensional diagnostic accuracy by more than 7.8% compared with the raw signals. In single-condition two-dimensional diagnosis, the accuracy is approximately 19.5% higher than that obtained using the raw data, and after secondary enhancement of features extracted by VMD, EMD, and other algorithms, the diagnostic accuracy reaches up to 100%. Under multi-condition and variable-speed operating conditions, secondary feature extraction by EFE increases the diagnostic accuracy by more than 15% on average; in particular, VMD combined with FirstEuler achieves 100% diagnostic accuracy for the full variable-speed condition combination. The proposed method effectively suppresses noise interference and highlight weak fault features, demonstrating excellent generalization ability and feature extraction performance under complex conditions such as constant load, variable load, and variable speed. In addition, the shallow CNN model reduces computational complexity, providing a new technical solution for efficient fault diagnosis of metro bogie bearings.

, authors=Yanhui Guo¹, Jinyang Xie², authorsList=Yanhui Guo, Jinyang Xie, 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=1308454771749310675, articleId=1308454768670691535, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=复杂工况下地铁转向架轴承微弱故障特征增强与诊断研究, columnId=1152669334955536763, journalTitle=都市快轨交通, columnName=机电工程, runingTitle=null, highlight=null, articleAbstract=

针对地铁转向架轴承在复杂工况下故障特征隐蔽、原始振动信号易受噪声干扰且传统诊断方法泛化性差、模型复杂度高等问题，提出一种融合欧拉特征提取（eulerian feature extraction, EFE）与浅层卷积神经网络的轴承故障智能诊断方法。该方法通过自适应区间映射实现振动信号的无量纲化与标准化，利用几何相位编码将线性时序信号转化为极坐标相位形式，再通过双重欧拉特征融合构建FirstEuler和SecondEuler两种特征表达，实现时域与相位域特征的深度融合，有效增强微弱故障特征的辨识度。EFE提取的特征可直接作为一维卷积神经网络输入，亦可转换为灰度图输入二维卷积神经网络，分别构建浅层诊断模型以兼顾诊断精度与效率。以凯斯西储大学轴承数据集和加拿大渥太华变速轴承数据集为实验对象，开展单工况、多工况及变转速工况下的故障诊断试验，并与变分模态分解（variational mode decomposition, VMD）、经验模态分解（empirical mode decomposition, EMD）、希尔伯特变换（hilbert transform, HT）等传统特征提取算法进行对比。实验结果表明：EFE在-6 dB强噪声环境下，相比原始信号一维诊断精度提升7.8%以上；单工况二维诊断中精度较原始数据提升约19.5%，对VMD、EMD等算法提取的特征进行二次增强后，诊断精度最高可达100%；多工况与变转速工况下，经EFE二次特征提取后诊断精度平均提升15%，其中VMD结合FirstEuler在变转速全工况组合中实现100%诊断精度。所提方法能有效抑制噪声干扰，突出微弱故障特征，在恒定负载、变负载、变转速等复杂工况下均展现出优异的泛化能力与特征提取性能，且浅层CNN模型降低计算复杂度，为地铁转向架轴承的高效故障诊断提供新的技术方案。

, authors=郭燕辉¹, 谢锦阳², authorsList=郭燕辉, 谢锦阳, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=yTwtxKtap10HtMokju/arA==, magXml=l+FKGXQ/yqIt35PYSSjCFg==, pdfUrl=null, pdf=SaEloPpxvbTgNdlLvK6JvA==, pdfFileSize=3434921, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=iGr1T1KhT/Dovq7NVi6gzQ==, mapNumber=null, fund=null)}, authors=[Author(id=1308454773678690526, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=15801029096@139.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1308454775507407072, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, authorId=1308454773678690526, language=EN, stringName=Yanhui Guo, firstName=Yanhui, middleName=null, lastName=Guo, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1308454775591293153, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, authorId=1308454773678690526, language=CN, stringName=郭燕辉, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．北京交通大学交通运输学院，北京 100044, bio={"content":"

郭燕辉，男，博士研究生，高级工程师，主要从事地铁车辆系统、智能运维与检测技术等研究，15801029096@139.com

"}, bioImg=null, bioContent=

郭燕辉，男，博士研究生，高级工程师，主要从事地铁车辆系统、智能运维与检测技术等研究，15801029096@139.com

, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1308454772906938583, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, xref=1., ext=[AuthorCompanyExt(id=1308454772927910104, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, companyId=1308454772906938583, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=^1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044), AuthorCompanyExt(id=1308454772936298713, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, companyId=1308454772906938583, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=^1．北京交通大学交通运输学院，北京 100044)])]), Author(id=1308454775725510883, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, orderNo=1, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1308454775801008357, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, authorId=1308454775725510883, language=EN, stringName=Jinyang Xie, firstName=Jinyang, middleName=null, lastName=Xie, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=², address=^2.School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1308454775859728614, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, authorId=1308454775725510883, language=CN, stringName=谢锦阳, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=², address=^2．北京交通大学电气工程学院，北京 100044, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1308454773259260122, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, xref=2., ext=[AuthorCompanyExt(id=1308454773267648731, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, companyId=1308454773259260122, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=^2.School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044), AuthorCompanyExt(id=1308454773288620252, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, companyId=1308454773259260122, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=^2．北京交通大学电气工程学院，北京 100044)])])], keywords=[Keyword(id=1308454776262381799, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, language=EN, orderNo=1, keyword=metro vehicles), Keyword(id=1308454776358850792, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, language=EN, orderNo=2, keyword=bogie), Keyword(id=1308454776434348265, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, language=EN, orderNo=3, keyword=complex operating conditions), Keyword(id=1308454776497262826, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, language=EN, orderNo=4, keyword=feature extraction), Keyword(id=1308454776555983083, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, language=EN, orderNo=5, keyword=fault diagnosis), Keyword(id=1308454776627286252, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, language=CN, orderNo=1, keyword=地铁车辆), Keyword(id=1308454776686006509, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, language=CN, orderNo=2, keyword=转向架), Keyword(id=1308454776769892590, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, language=CN, orderNo=3, keyword=复杂工况), Keyword(id=1308454776849584367, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, language=CN, orderNo=4, keyword=特征提取), Keyword(id=1308454776904110320, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, language=CN, orderNo=5, keyword=故障诊断)], refs=null, funds=[Fund(id=1308454776992190705, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, awardId=CEIEC-2024-ZM02-0043, language=CN, fundingSource=国家工信部重大项目(CEIEC-2024-ZM02-0043), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1308454772906938583, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, xref=1., ext=[AuthorCompanyExt(id=1308454772927910104, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, companyId=1308454772906938583, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=^1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044), AuthorCompanyExt(id=1308454772936298713, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, companyId=1308454772906938583, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=^1．北京交通大学交通运输学院，北京 100044)]), AuthorCompany(id=1308454773259260122, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, xref=2., ext=[AuthorCompanyExt(id=1308454773267648731, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, companyId=1308454773259260122, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=^2.School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044), AuthorCompanyExt(id=1308454773288620252, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308454768670691535, companyId=1308454773259260122, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=^2．北京交通大学电气工程学院，北京 100044)])], figs=null, attaches=null, journal=Journal(id=1146119287908970507, delFlag=0, nameCn=都市快轨交通, nameEn=Urban Rapid Rail Transit, nameHistory1=null, nameHistory2=null, issn=1672-6073, eissn=, cn=11-5144/U, coden=null, periodic=1, language=CN, oaType=0, ccby=null, superviseOffice=null, ownerOffice=null, pubOffice=null, editorOffice=null, officeType=null, aims=null, clcCode=null, officeProv=null, officeCity=null, officeAddr=null, officeZip=null, officeEmail=null, officePhone=null, editDirector=null, officeDirector=null, officeDirectorPhone=null, officeStaffNum=null, officeEmpNum=null, coverPicUrl=P1a+Ek/jjjHf/jufN8hKnw==, journalPrice=null, startedYear=null, abbrevIsoEn=Urban Rap Rail Trans, journalRemark=null, publicationField=null, createdTime=null, updatedTime=1784016077367, createdBy=null, updatedBy=13041195026, firstLetterCn=D, firstLetterEn=D, subjectCode=Engineering, subjectName=工程, subjectCodeEn=Engineering, subjectNameEn=null, picCn=P1a+Ek/jjjHf/jufN8hKnw==, picEn=Ml/zvLJzYsu7AhRo5kg9VQ==, jcr=null, cjcr=null, exts=[JournalExt(id=1283819736966337234, language=CN, name=都市快轨交通, nameHistory1=null, nameHistory2=null, managedBy=中华人民共和国教育部, sponsoredBy=北京交通大学、北京城建设计发展集团股份有限公司, publishedBy=《都市快轨交通》编辑部, editorOffice=, officeProv=null, officeCity=null, officeAddr=北京市西直门外北京交通大学机械工程楼D905室, officeZip=100044, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=http://www.urt.cn, createdTime=1784016077510, updatedTime=1784016077510, createdBy=13041195026, updatedBy=13041195026, submissionGuidelinesUrl=http://dskgjt.ijournals.cn/dskgjt/site/menu/20200615141511001, submissionAuthorUrl=http://dskgjt.ijournals.cn/dskgjt/author/login, submissionEditorUrl=http://dskgjt.ijournals.cn/dskgjt/editor/login, submissionReviewUrl=http://dskgjt.ijournals.cn/dskgjt/reviewer/login, submissionCeEditorUrl=, submissionAeEditorUrl=, option={"copyright":""}), JournalExt(id=1283819737041834707, language=EN, name=Urban Rapid Rail Transit, nameHistory1=null, nameHistory2=null, managedBy=, sponsoredBy=, publishedBy=, editorOffice=, officeProv=null, officeCity=null, officeAddr=, officeZip=, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=, createdTime=1784016077528, updatedTime=1784016077528, createdBy=13041195026, updatedBy=13041195026, submissionGuidelinesUrl=http://dskgjt.ijournals.cn/dskgjten/site/menu/20241120152535001, submissionAuthorUrl=http://dskgjt.ijournals.cn/dskgjt/author/login, submissionEditorUrl=http://dskgjt.ijournals.cn/dskgjt/editor/login, submissionReviewUrl=http://dskgjt.ijournals.cn/dskgjt/reviewer/login, submissionCeEditorUrl=, submissionAeEditorUrl=, option={"copyright":""})], databaseList=null, tenantJournalId=1146123302524792850, websiteList=[Website(id=1148243202399789480, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1146123302524792850, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/dskgjt/CN, language=CN, createTime=1751692112779, createBy=18614031015, updateTime=1753522796719, updateBy=18614031015, name=都市快轨交通-中文站点, tplId=1146099689490845704, title=都市快轨交通, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1155921926926229709, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1148243202399789480, code=articleTextType, value=kx, createTime=1753522863370, updateTime=1753522863370, creator=18614031015, updator=18614031015), WebsiteProps(id=1155921926905258186, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1148243202399789480, code=banner, value=null, createTime=1753522863365, updateTime=1753522863365, creator=18614031015, updator=18614031015), WebsiteProps(id=1155921926896869577, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1148243202399789480, code=logo, value=https://castjournals.cast.org.cn/joweb/kjdb/CN/file/pic?fileId=AqFiyT4buOvVaL3FTbHG1g==, createTime=1753522863363, updateTime=1753522863363, creator=18614031015, updator=18614031015), WebsiteProps(id=1155921926917841100, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1148243202399789480, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/kjdb/CN/file/pic, createTime=1753522863368, updateTime=1753522863368, creator=18614031015, updator=18614031015), WebsiteProps(id=1155921926913646795, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1148243202399789480, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_cn_619/, createTime=1753522863367, updateTime=1753522863367, creator=18614031015, updator=18614031015)]), Website(id=1155921810454626336, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1146123302524792850, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/dskgjt/EN, language=EN, createTime=1753522835604, createBy=18614031015, updateTime=1753522835604, updateBy=18614031015, name=都市快轨交通-英文站点, tplId=1146101810881728533, title=Urban Rapid Rail Transit, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1155922050809192658, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1155921810454626336, code=articleTextType, value=kx, createTime=1753522892906, updateTime=1753522892906, creator=18614031015, updator=18614031015), WebsiteProps(id=1155922050792415439, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1155921810454626336, code=banner, value=null, createTime=1753522892902, updateTime=1753522892902, creator=18614031015, updator=18614031015), WebsiteProps(id=1155922050788221134, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1155921810454626336, code=logo, value=https://castjournals.cast.org.cn/joweb/kjdb/CN/file/pic?fileId=AqFiyT4buOvVaL3FTbHG1g==, createTime=1753522892901, updateTime=1753522892901, creator=18614031015, updator=18614031015), WebsiteProps(id=1155922050804998353, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1155921810454626336, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/kjdb/CN/file/pic, createTime=1753522892905, updateTime=1753522892905, creator=18614031015, updator=18614031015), WebsiteProps(id=1155922050796609744, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1155921810454626336, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_cn_619/, createTime=1753522892903, updateTime=1753522892903, creator=18614031015, updator=18614031015)])], journalTitle=都市快轨交通, weixinUrl=null, journalUrl=null, iacademicId=null, status=1, seqNo=null, journalTitleEn=Urban Rapid Rail Transit, journalPhotoCn=P1a+Ek/jjjHf/jufN8hKnw==, journalPhotoEn=Ml/zvLJzYsu7AhRo5kg9VQ==, journalFirstLetter=D, journalRecommend=null, journalNew=null, journalCollection=null, jcrJf=null, cjcrJf=null, jcrJfStr=null, cjcrJfStr=null, submissionFirstDecision=null, sciSubjectClassification=null, casSubjectClassification=null, citeScore=null, totalCitationFrequency=null, icpCode=null, psCode=null, advertisingLicenseCode=null, copyrightInformation=null, country=null, option=, provinceCode=null, provinceName=null, collectFlag=false, interPubPlatform=, interPubPlatformUrl=null), detailUrlCn=https://castjournals.cast.org.cn/joweb/dskgjt/CN/10.3969/j.issn.1672-6073.2026.04.020, detailUrlEn=https://castjournals.cast.org.cn/joweb/dskgjt/EN/10.3969/j.issn.1672-6073.2026.04.020, pdfUrlCn=https://castjournals.cast.org.cn/joweb/dskgjt/CN/PDF/10.3969/j.issn.1672-6073.2026.04.020, pdfUrlEn=https://castjournals.cast.org.cn/joweb/dskgjt/EN/PDF/10.3969/j.issn.1672-6073.2026.04.020, aliStartDate=0, aliEndDate=0, collectionFlag=false, citedCount=null, citedUrl=null, previewStatus=0, delFlag=0, hasFullText=0, orderTime=1789889526765, fullTextJson=null, articleText=null, reference=null)