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Shock and Vibration
Volume 20, Issue 3, Pages 423-438
http://dx.doi.org/10.3233/SAV-120759

A Novel Damage Detection Algorithm using Time-Series Analysis-Based Blind Source Separation

A. Sadhu and B. Hazra

Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON, Canada

Received 17 August 2012; Revised 6 November 2012; Accepted 6 November 2012

Copyright © 2013 Hindawi Publishing Corporation. 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 [11 citations]

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

  • F Musafere, A Sadhu, and K Liu, “Towards damage detection using blind source separation integrated with time-varying auto-regressive modeling,” Smart Materials and Structures, vol. 25, no. 1, pp. 015013, 2015. View at Publisher · View at Google Scholar
  • F. Musafere, A. Sadhu, and K. Liu, “Time-Varying System Identification Using a Hybrid Blind Source Separation Method,” Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7, pp. 99–104, 2016. View at Publisher · View at Google Scholar
  • V Morovati, and M T Kazemi, “Detection of sudden structural damage using blind source separation and time–frequency approaches,” Smart Materials and Structures, vol. 25, no. 5, pp. 055008, 2016. View at Publisher · View at Google Scholar
  • Yonghui An, Bartłomiej Błachowski, Yue Zhong, Paweł Hołobut, and Jinping Ou, “Rank-revealing QR decomposition applied to damage localization in truss structures,” Structural Control and Health Monitoring, 2016. View at Publisher · View at Google Scholar
  • Abdollah Bagheri, Ali Zare Hosseinzadeh, Piervincenzo Rizzo, and Gholamreza Ghodrati Amiri, “Time domain damage localization and quantification in seismically excited structures using a limited number of sensors,” Journal of Vibration and Control, vol. 23, no. 18, pp. 2942–2961, 2016. View at Publisher · View at Google Scholar
  • Jianying Wang, Cheng Wang, Tianshu Zhang, and Bineng Zhong, “Comparison of Different Independent Component Analysis Algorithms for Output-Only Modal Analysis,” Shock and Vibration, vol. 2016, pp. 1–25, 2016. View at Publisher · View at Google Scholar
  • Xiangdong Huang, Xukang Jin, and Haipeng Fu, “Short-Sampled Blind Source Separation of Rotating Machinery Signals Based on Spectrum Correction,” Shock and Vibration, vol. 2016, pp. 1–10, 2016. View at Publisher · View at Google Scholar
  • Lixiang Duan, Yangshen Wang, Jinjiang Wang, Laibin Zhang, and Jinglong Chen, “Undecimated Lifting Wavelet Packet Transform with Boundary Treatment for Machinery Incipient Fault Diagnosis,” Shock and Vibration, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • A. Sadhu, S. Narasimhan, and J. Antoni, “A review of output-only structural mode identification literature employing blind source separation methods,” Mechanical Systems and Signal Processing, vol. 94, pp. 415–431, 2017. View at Publisher · View at Google Scholar
  • B Bhowmik, M Krishnan, B Hazra, and V Pakrashi, “Online Damage Detection using Recursive Principal Component Analysis,” Procedia Engineering, vol. 199, pp. 2108–2113, 2017. View at Publisher · View at Google Scholar
  • M. Krishnan, B. Bhowmik, B. Hazra, and V. Pakrashi, “Real time damage detection using recursive principal components and time varying auto-regressive modeling,” Mechanical Systems and Signal Processing, vol. 101, pp. 549–574, 2018. View at Publisher · View at Google Scholar