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The Scientific World Journal
Volume 2013, Article ID 248349, 13 pages
http://dx.doi.org/10.1155/2013/248349
Research Article

Investigation of Time Series Representations and Similarity Measures for Structural Damage Pattern Recognition

1Elektrobit Automotive Inc. Detroit, Farmington Hills, MI 48331, USA
2Department of Mechanical Engineering—Engineering Mechanics, Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI 49931, USA
3Department of Civil and Environmental Engineering, Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI 49931, USA

Received 20 July 2013; Accepted 25 August 2013

Academic Editors: D. G. Aggelis, N. Alver, and H. K. Chai

Copyright © 2013 Wenjia Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Kai-Chun Chang, and Chul-Woo Kim, “Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge,” Engineering Structures, vol. 122, pp. 156–173, 2016. View at Publisher · View at Google Scholar
  • Gwanghee Heo, Chunggil Kim, Chinok Lee, Jieun Hur, and Sanggu Seo, “A damage assessment technique based on a revised statistical pattern-recognition technique (SPRT),” KSCE Journal of Civil Engineering, 2016. View at Publisher · View at Google Scholar
  • Yun-Lai Zhou, and Magd Abdel Wahab, “Cosine based and extended transmissibility damage indicators for structural damage detection,” Engineering Structures, vol. 141, pp. 175–183, 2017. View at Publisher · View at Google Scholar