title: Empirical mode decomposition and neural networks on FPGA for fault diagnosis in induction motors.
abstract: Nowadays, many industrial applications require online systems that combine several processing techniques in order to offer solutions to complex problems as the case of detection and classification of multiple faults in induction motors. In this work, a novel digital structure to implement the empirical mode decomposition (EMD) for processing nonstationary and nonlinear signals using the full spline-cubic function is presented; besides, it is combined with an adaptive linear network (ADALINE)-based frequency estimator and a feed forward neural network (FFNN)-based classifier to provide an intelligent methodology for the automatic diagnosis during the startup transient of motor faults such as: one and two broken rotor bars, bearing defects, and unbalance. Moreover, the overall methodology implementation into a field-programmable gate array (FPGA) allows an online and real-time operation, thanks to its parallelism and high-performance capabilities as a system-on-a-chip (SoC) solution. The detection and classification results show the effectiveness of the proposed fused techniques; besides, the high precision and minimum resource usage of the developed digital structures make them a suitable and low-cost solution for this and many other industrial applications.
authors.affiliation: HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Río, QRO, Mexico.
authors.forename: David
authors.identifier: 0000-0003-0862-0821
authors.initials: D
authors.lastname: Camarena-Martinez
authors.affiliation: HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Río, QRO, Mexico.
authors.forename: Martin
authors.identifier: 0000-0003-3839-1396
authors.initials: M
authors.lastname: Valtierra-Rodriguez
authors.affiliation: HSPdigital-CA Telematica, Procesamiento Digital de Señales, DICIS, Universidad de Guanajuato, Carr. Salamanca-Valle km 3.5 + 1.8, Palo Blanco, 36700 Salamanca, GTO, Mexico.
authors.forename: Arturo
authors.initials: A
authors.lastname: Garcia-Perez
authors.affiliation: HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Río, QRO, Mexico.
authors.forename: Roque Alfredo
authors.initials: RA
authors.lastname: Osornio-Rios
authors.affiliation: HSPdigital-CA Telematica, Procesamiento Digital de Señales, DICIS, Universidad de Guanajuato, Carr. Salamanca-Valle km 3.5 + 1.8, Palo Blanco, 36700 Salamanca, GTO, Mexico.
authors.forename: Rene de Jesus
authors.initials: Rde J
authors.lastname: Romero-Troncoso
mesh_terms: D000465:Algorithms; D006801:Humans; D016571:Neural Networks, Computer