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Shock and Vibration
Volume 2014, Article ID 502762, 11 pages
http://dx.doi.org/10.1155/2014/502762
Research Article

Wavelet-Based Frequency Response Function: Comparative Study of Input Excitation

Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland

Received 12 July 2013; Accepted 5 February 2014; Published 4 June 2014

Academic Editor: Nuno Maia

Copyright © 2014 K. Dziedziech 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 [5 citations]

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

  • K. Dziedziech, W.J. Staszewski, and T. Uhl, “Wavelet-based modal analysis for time-variant systems,” Mechanical Systems and Signal Processing, 2014. View at Publisher · View at Google Scholar
  • K. Dziedziech, W.J. Staszewski, B. Basu, and T. Uhl, “Wavelet-based detection of abrupt changes in natural frequencies of time-variant systems,” Mechanical Systems and Signal Processing, 2015. View at Publisher · View at Google Scholar
  • Guangxiang Yang, and Hua Liang, “Condition Monitoring and Fault Diagnosis for an Antifalling Safety Device,” Shock and Vibration, vol. 2015, pp. 1–12, 2015. View at Publisher · View at Google Scholar
  • Wangpeng He, Yunyi Yan, Baolong Guo, Lu An, and Wei Sun, “Enhanced frame expansion via configuring filterbank topology for rapid processing of multi-sensor vibration data with applications to turbo-machinery fault diagnosis,” International Journal of Distributed Sensor Networks, vol. 13, no. 10, pp. 1–20, 2017. View at Publisher · View at Google Scholar
  • Kajetan Dziedziech, Piotr Czop, Wieslaw J. Staszewski, and Tadeusz Uhl, “Combined non-parametric and parametric approach for identification of time-variant systems,” Mechanical Systems and Signal Processing, vol. 103, pp. 295–311, 2018. View at Publisher · View at Google Scholar