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    Piezoelectric Sensor-Based Health Monitoring of Railroad Tracks Using a Two-Step Support Vector Machine Classifier

    Source: Journal of Infrastructure Systems:;2008:;Volume ( 014 ):;issue: 001
    Author:
    Seunghee Park
    ,
    Daniel J. Inman
    ,
    Jong-Jae Lee
    ,
    Chung-Bang Yun
    DOI: 10.1061/(ASCE)1076-0342(2008)14:1(80)
    Publisher: American Society of Civil Engineers
    Abstract: A piezoelectric sensor-based health monitoring technique using a two-step support vector machine (SVM) classifier is developed for railroad track damage identification. A
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      Piezoelectric Sensor-Based Health Monitoring of Railroad Tracks Using a Two-Step Support Vector Machine Classifier

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/48328
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    • Journal of Infrastructure Systems

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    contributor authorSeunghee Park
    contributor authorDaniel J. Inman
    contributor authorJong-Jae Lee
    contributor authorChung-Bang Yun
    date accessioned2017-05-08T21:21:31Z
    date available2017-05-08T21:21:31Z
    date copyrightMarch 2008
    date issued2008
    identifier other%28asce%291076-0342%282008%2914%3A1%2880%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/48328
    description abstractA piezoelectric sensor-based health monitoring technique using a two-step support vector machine (SVM) classifier is developed for railroad track damage identification. A
    publisherAmerican Society of Civil Engineers
    titlePiezoelectric Sensor-Based Health Monitoring of Railroad Tracks Using a Two-Step Support Vector Machine Classifier
    typeJournal Paper
    journal volume14
    journal issue1
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)1076-0342(2008)14:1(80)
    treeJournal of Infrastructure Systems:;2008:;Volume ( 014 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian