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The Scientific World Journal
Volume 2012 (2012), Article ID 353081, 7 pages
http://dx.doi.org/10.1100/2012/353081
Research Article

A Data-Driven Noise Reduction Method and Its Application for the Enhancement of Stress Wave Signals

School of Information Engineering, Zhejiang A & F University, Zhejiang, Lin'an 311300, China

Received 15 September 2012; Accepted 15 October 2012

Academic Editors: W.-J. Hwang, M. Riera-Guasp, and V. Valimaki

Copyright © 2012 Hai-Lin Feng 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 [2 citations]

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

  • David Camarena-Martinez, Martin Valtierra-Rodriguez, Arturo Garcia-Perez, Roque Alfredo Osornio-Rios, and Rene de Jesus Romero-Troncoso, “Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors,” The Scientific World Journal, vol. 2014, pp. 1–17, 2014. View at Publisher · View at Google Scholar
  • Cédric Damour, Michel Benne, Brigitte Grondin-Perez, Miloud Bessafi, Daniel Hissel, and Jean-Pierre Chabriat, “Polymer electrolyte membrane fuel cell fault diagnosis based on empirical mode decomposition,” Journal of Power Sources, vol. 299, pp. 596–603, 2015. View at Publisher · View at Google Scholar