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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 7906834, 14 pages
http://dx.doi.org/10.1155/2016/7906834
Research Article

Machine Fault Detection Based on Filter Bank Similarity Features Using Acoustic and Vibration Analysis

1Automatic Research Group, Universidad Tecnológica de Pereira, Pereira, Colombia
2Technological and Environmental Advances Research Group, Universidad Católica de Manizales, Colombia
3Signal Processing and Recognition Group, Universidad Nacional de Colombia, Manizales, Colombia
4Universidad Nacional de Colombia, Manizales, Colombia

Received 19 February 2016; Revised 10 May 2016; Accepted 8 June 2016

Academic Editor: Weihua Li

Copyright © 2016 Mauricio Holguín-Londoño 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.

How to Cite this Article

Mauricio Holguín-Londoño, Oscar Cardona-Morales, Edgar F. Sierra-Alonso, Juan D. Mejia-Henao, Álvaro Orozco-Gutiérrez, and German Castellanos-Dominguez, “Machine Fault Detection Based on Filter Bank Similarity Features Using Acoustic and Vibration Analysis,” Mathematical Problems in Engineering, vol. 2016, Article ID 7906834, 14 pages, 2016. doi:10.1155/2016/7906834