Open Access
MATEC Web Conf.
Volume 148, 2018
International Conference on Engineering Vibration (ICoEV 2017)
Article Number 14006
Number of page(s) 6
Section Vibration-Based Structural Health Monitoring Data Analysis and Time Series Methods
Published online 02 February 2018
  1. A. Dekal, A. Rao, S. Kamath, A. Gaurav, K. Gangadharan, presented at the 2nd Mechanical Engineering Graduate Research Symposium (MEGRES), IIT Bombay, Mumbai, India (2015). [Google Scholar]
  2. G. Dong, F. Zhao, and X. Zhang, Adv. Mech. Eng., 9(3), 1-12 (2017). [Google Scholar]
  3. M. Zhang, Y. Shen, L. Xiao, and W. Qu, Nonli. Dyn., 88, 1643-1653 (2017). [CrossRef] [Google Scholar]
  4. H.C. Eun, Y.J. Ahn and S.G. Lee, “xperimental study on damage detection at bolted joint using frequency response function.” in ACEM14, Busan, Korea, (2014). [Google Scholar]
  5. D. Doyle, A. Zagrai, and B. Arritt, “Bolted joint integrity for structural health monitoring of responsive space satellites,” in the Proceeding of 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Palm Springs, CA (2009). [Google Scholar]
  6. W. Na, J. Lee, J. Kim, and D. Hong, “Hybrid Health Monitoring for Damage Detection in Structural Joints,” (2006). [Google Scholar]
  7. M. Mehrjoo, N. Khaji, H. Moharrami, and A. Bahreininejad, Exp. Sys. Appl., 35, 1122-113 (2008). [CrossRef] [Google Scholar]
  8. A. Abolfathi, D. J. O’Boy, S. J. Walsh, A. M. Dowsett, and S. A. Fisher, Proc. IMechE, C: J Mech. Eng. Sci., 0954406217721724 (2017). [Google Scholar]
  9. S. S. Rao, Vibration of continuous systems, (John Wiley & Sons, 2007). [Google Scholar]
  10. P. Gardonio and M. Brennan, Mobility and impedance methods in structural dynamics, in Advanced Applications in Acoustics, Noise and Vibration (CRC Press, 2004). [Google Scholar]
  11. E. L. Hixson, Shock and vibration handbook, 10, 1-46, (1988). [Google Scholar]
  12. S. Sanei and H. Hassani, Singular spectrum analysis of biomedical signals (CRC Press, 2015). [CrossRef] [Google Scholar]
  13. S. M. Mohammadi, S. Enshaeifar, M. Ghavami, and S. Sanei, “Classification of awake, REM, and NREM from EEG via singular spectrum analysis,” in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4769-4772 (2015). [Google Scholar]
  14. A. Hossein Vahabie, M. M. R. Yousefi, B. N. Araabi, C. Lucas, and S. Barghinia, “Combination of singular spectrum analysis and autoregressive model for short term load forecasting,” in Power Tech, IEEE, Lausanne, 1090-1093 (2007). [CrossRef] [Google Scholar]
  15. B. Kilundu, X. Chiementin, and P. Dehombreux, J Vib. Acous., 133, 051007 (2011). [CrossRef] [Google Scholar]
  16. T. Liu, J. Chen, and G. Dong, J Vib Cont., 1506-1521 (2013). [Google Scholar]
  17. B. Muruganatham, M. Sanjith, B. Krishnakumar, and S. Satya Murty, Mech. Sys. Sig. Proc., 35, 150-166 (2013). [Google Scholar]
  18. H. Al-Bugharbee and I. Trendafilova, JSV, 369, 246-265 (2016). [CrossRef] [Google Scholar]
  19. H. Al-Bugharbee and I. Trendafilova, Int. J. Cond. Mont., 7, 26-35 (2017). [CrossRef] [Google Scholar]
  20. D. Salgado and F. Alonso, J Mat. Proc. Tech., 171, 451-458 (2006). [CrossRef] [Google Scholar]
  21. B. Kilundu, P. Dehombreux, and X. Chiementin, Mech. Sys. Sign. Proc., 25, 400-415 (2011). [Google Scholar]
  22. D. Garcia, I. Trendafilova, and H. Al-Bugharbee, “Vibration-based health monitoring approach for composite structures using multivariate statistical analysis,” in EWSHM-7th European workshop on structural health monitoring (2014). [Google Scholar]
  23. N. Golyandina and A. Zhigljavsky, Singular Spectrum Analysis for time series. (Springer Science & Business M dia, 2013). [Google Scholar]
  24. H. Hassani, “Singular spectrum analysis: methodology and comparison,” (2007). [Google Scholar]
  25. L. Zhang, J. Marron, H. Shen, and Z. Zhu, J Comp. Grap. Stat., 16, 833-854 (2007). [CrossRef] [Google Scholar]
  26. H. R. Al-Bugharbee, Data-driven methodologies for bearing vibration analysis and vibration based fault diagnosis, (PhD thesis, University of Strathclyde, 2016). [Google Scholar]

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