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Shock and Vibration
Volume 2014 (2014), Article ID 102157, 8 pages
http://dx.doi.org/10.1155/2014/102157
Research Article

Analysis of Vibroacoustic Modulations for Crack Detection: A Time-Frequency Approach Based on Zhao-Atlas-Marks Distribution

1Department of Mathematical, Physical and Computational Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
2Department of Electrical & Computer Engineering, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece

Received 11 July 2013; Accepted 7 January 2014; Published 12 June 2014

Academic Editor: Nuno Maia

Copyright © 2014 A. Trochidis 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.

  • Huifeng Zheng, Sangsang Yu, Keyi Zhu, Piaopiao Fang, Yuebing Wang, and Wenxu Cao, “Metal micro crack detection based on vibro-acoustic modulation method,” Zhongguo Jixie Gongcheng/China Mechanical Engineering, vol. 27, no. 11, pp. 1497–1501, 2016. View at Publisher · View at Google Scholar
  • Jun Jia, Haifeng Hu, Limin Tao, and Dingxin Yang, “Analysis of load effect on nonlinear vibro-acoustic modulation used in on-line monitoring of fatigue cracks,” Smart Materials and Structures, vol. 26, no. 9, pp. 095048, 2017. View at Publisher · View at Google Scholar
  • R. Uma Maheswari, and R. Umamaheswari, “Trends in non-stationary signal processing techniques applied to vibration analysis of wind turbine drive train – A contemporary survey,” Mechanical Systems and Signal Processing, vol. 85, pp. 296–311, 2017. View at Publisher · View at Google Scholar