YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Uncertainty Quantification in Stochastic Subspace Identification Using a Simulation Method with DBSCAN-Based Outlier Detection

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001::page 04025087-1
    Author:
    Wang, Yi
    ,
    Wang, Jia
    ,
    Hua, Xugang
    ,
    Niu, Huawei
    ,
    Feng, Zhouquan
    DOI: 10.1061/AJRUA6.RUENG-1658
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThere are variance errors in the modal parameters estimated by stochastic subspace identification (SSI), with specified model order and time lag parameter. To quantify the variance of the identified modal parameters, the commonly used computation ...
    • Download: (1.080Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Uncertainty Quantification in Stochastic Subspace Identification Using a Simulation Method with DBSCAN-Based Outlier Detection

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4314153
    Collections
    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

    Show full item record

    contributor authorWang, Yi
    contributor authorWang, Jia
    contributor authorHua, Xugang
    contributor authorNiu, Huawei
    contributor authorFeng, Zhouquan
    date accessioned2026-08-20T21:13:52Z
    date available2026-08-20T21:13:52Z
    date copyright2025/10/22
    date issued2026
    identifier otherAJRUA6.RUENG-1658.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314153
    description abstractAbstractThere are variance errors in the modal parameters estimated by stochastic subspace identification (SSI), with specified model order and time lag parameter. To quantify the variance of the identified modal parameters, the commonly used computation ...
    publisherAmerican Society of Civil Engineers
    titleUncertainty Quantification in Stochastic Subspace Identification Using a Simulation Method with DBSCAN-Based Outlier Detection
    typeJournal Article
    journal volume12
    journal issue1
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.RUENG-1658
    journal fristpage04025087-1
    journal lastpage04025087-17
    page17
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian