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      Structural Damage Detection with Automatic Feature-Extraction through Deep Learning : Structural damage detection with automatic feature-extraction through deep learning

      Author(s): 1 , 1 , 2
      Publication date (Electronic):
      Journal: Computer-Aided Civil and Infrastructure Engineering
      Publisher: Wiley

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          Detection of structural damage through changes in frequency: a review

          O.S. Salawu (1997)
          Article 0 comments Cited 166 times – based on 0 reviews     Review now
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            Damage detection from changes in curvature mode shapes

            M.M. Samman, A.K. Pandey, M. Biswas (1991)
            Article 0 comments Cited 159 times – based on 0 reviews     Review now
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              The location of defects in structures from measurements of natural frequencies

              P. Cawley, R ADAMS (2007)
              Article 0 comments Cited 108 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Title: Computer-Aided Civil and Infrastructure Engineering
                Abbreviated Title: Computer-Aided Civil and Infrastructure Engineering
                Publisher: Wiley
                ISSN: 10939687
                Publication date Created: December 2017
                Publication date (Print): December 2017
                Publication date (Electronic): November 10 2017
                Volume: 32
                Issue: 12
                Pages: 1025-1046
                Affiliations
                [1 ]School of Mechanics and Construction Engineering; Jinan University & Key Lab of Disaster Forecast and Control in Engineering, Ministry of Education; Guangzhou China
                [2 ]Dongguan University of Technology; Dongguan, China & Department of Civil Engineering, Qinghai University; Xining China
                Article
                DOI: 10.1111/mice.12313
                SO-VID: 9f99e890-21a7-4150-a679-f2e754de2252
                Copyright © © 2017
                License:

                http://doi.wiley.com/10.1002/tdm_license_1.1

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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