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Shock and Vibration
Volume 2016, Article ID 2683269, 13 pages
http://dx.doi.org/10.1155/2016/2683269
Research Article

Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling

1MCIA Research Center, Department of Electronic Engineering, Technical University of Catalonia (UPC), Rambla San Nebridi No. 22, Gaia Research Building, 08222 Terrassa, Spain
2CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, Colonia San Cayetano, 76807 San Juan del Rio, QRO, Mexico
3CA Telematica, DICIS, Universidad de Guanajuato, Carretera Salamanca-Valle km 3.5+1.8, Palo Blanco, 36885 Salamanca, GTO, Mexico

Received 6 May 2016; Revised 18 July 2016; Accepted 18 July 2016

Academic Editor: Mario Terzo

Copyright © 2016 Daniel Zurita-Millán 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

Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan José Saucedo-Dorantes, et al., “Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling,” Shock and Vibration, vol. 2016, Article ID 2683269, 13 pages, 2016. https://doi.org/10.1155/2016/2683269.