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Mathematical Problems in Engineering
Volume 2012, Article ID 406521, 24 pages
http://dx.doi.org/10.1155/2012/406521
Research Article

Application of Kernel Density Estimation in Lamb Wave-Based Damage Detection

1School of Mechanics and Civil & Architecture, Northwestern Polytechnical University, Xi'an, Shaanxi 710129, China
2Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong

Received 13 April 2012; Revised 15 June 2012; Accepted 20 June 2012

Academic Editor: Alessandro Marzani

Copyright © 2012 Long Yu and Zhongqing Su. 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 [9 citations]

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

  • Gang Yan, “A particle filter method for damage location in plate-like structures by using Lamb waves,” Structural Control and Health Monitoring, vol. 21, no. 6, pp. 847–867, 2013. View at Publisher · View at Google Scholar
  • Gang Yan, “A Bayesian approach for damage localization in plate-like structures using Lamb waves,” Smart Materials and Structures, vol. 22, no. 3, pp. 035012, 2013. View at Publisher · View at Google Scholar
  • Jixin Wang, Yan Liu, Xiaohua Zeng, Zhenping Zhou, Naixiang Wang, and Wanghao Shen, “Selection Method for Kernel Function in Nonparametric Extrapolation Based on Multicriteria Decision-Making Technology,” Mathematical Problems in Engineering, vol. 2013, pp. 1–11, 2013. View at Publisher · View at Google Scholar
  • Jian-Qiang Wang, Long Yu, Yu Zhang, and Liu Liu, “Damage signal decomposition of lamb wave and tests based on similarity,” Zhendong yu Chongji/Journal of Vibration and Shock, vol. 33, no. 24, pp. 200–210, 2014. View at Publisher · View at Google Scholar
  • Rujie Sun, Guoping Chen, Dongyang Sun, Cheng He, and Lanwei Zhou, “Probabilistic damage detection based on the kernel density estimation method in aluminum plates,” Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, vol. 35, no. 6, pp. 1055–1062, 2015. View at Publisher · View at Google Scholar
  • C. Fendzi, N. Mechbal, M. Rebillat, M. Guskov, and G. Coffignal, “A general Bayesian framework for ellipse-based and hyperbola-based damage localization in anisotropic composite plates,” Journal Of Intelligent Material Systems And Structures, vol. 27, no. 3, pp. 350–374, 2016. View at Publisher · View at Google Scholar
  • Arvin Ebrahimkhanlou, and Salvatore Salamone, “A probabilistic framework for single-sensor acoustic emission source localization in thin metallic plates,” Smart Materials and Structures, vol. 26, no. 9, pp. 095026, 2017. View at Publisher · View at Google Scholar
  • Kuter, and Kuter, “Investigation of wildfires at forested landscapes: A novel contribution to nonparametric density mapping at regional scale,” Applied Ecology and Environmental Research, vol. 16, no. 4, pp. 4701–4716, 2018. View at Publisher · View at Google Scholar
  • Sergio Cantero-Chinchilla, Juan Chiachío, Manuel Chiachío, Dimitrios Chronopoulos, and Arthur Jones, “A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves,” Mechanical Systems and Signal Processing, vol. 122, pp. 192–205, 2019. View at Publisher · View at Google Scholar