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Shock and Vibration
Volume 2016, Article ID 5467643, 13 pages
Research Article

Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain

1CA Mecatronica, Facultad de Ingenieria, Campus San Juan del Rio, Universidad Autónoma de Querétaro, Rio Moctezuma 249, Colonia San Cayetano, 76807 San Juan del Rio, QRO, Mexico
2Technical University of Catalonia (UPC), Department of Electronic Engineering, MCIA Research Center, Rambla San Nebridi No. 22, Gaia Research Building, 08222 Terrassa, Spain
3CA Procesamiento Digital de Señales, CA Telematica, Division de Ingenierias, Campus Irapuato-Salamanca, Universidad de Guanajuato, Carretera Salamanca-Valle km 3.5 + 1.8, Comunidad de Palo Blanco, 36700 Salamanca, GTO, Mexico

Received 12 November 2015; Accepted 23 February 2016

Academic Editor: Konstantinos N. Gyftakis

Copyright © 2016 Juan Jose Saucedo-Dorantes 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.


Gearboxes and induction motors are important components in industrial applications and their monitoring condition is critical in the industrial sector so as to reduce costs and maintenance downtimes. There are several techniques associated with the fault diagnosis in rotating machinery; however, vibration and stator currents analysis are commonly used due to their proven reliability. Indeed, vibration and current analysis provide fault condition information by means of the fault-related spectral component identification. This work presents a methodology based on vibration and current analysis for the diagnosis of wear in a gearbox and the detection of bearing defect in an induction motor both linked to the same kinematic chain; besides, the location of the fault-related components for analysis is supported by the corresponding theoretical models. The theoretical models are based on calculation of characteristic gearbox and bearings fault frequencies, in order to locate the spectral components of the faults. In this work, the influence of vibrations over the system is observed by performing motor current signal analysis to detect the presence of faults. The obtained results show the feasibility of detecting multiple faults in a kinematic chain, making the proposed methodology suitable to be used in the application of industrial machinery diagnosis.