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Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS(2)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022(1)
American Society of Mechanical Engineers (ASME)(1)
International Journal of Advanced Manufacturing Technology(1)
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Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM
ArticleAbstract: This paper describes two algorithms for feature extraction from the Poincaré plot which is constructPalabras claves:bearing fault diagnosis, Gearbox fault diagnosis, Poincaré plot, Rotating machinery, Support Vector Machine, Vibration signalsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:googlescopusGearbox Broken Tooth Severity Classification using EMD of Acoustic Emission Signals
Conference ObjectAbstract: Fault severity classification is a critical task necessary for optimal predictive maintenance to redPalabras claves:Acoustic Emission, Broken tooth severity, empirical mode decomposition, gearbox, linear discriminant analysis, random forestAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Luis Renato Ortega, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:googlescopusGearbox fault classification using dictionary sparse based representations of vibration signals
Conference ObjectAbstract: Fault detection in rotating machinery is important for optimizing maintenance chores and avoiding sePalabras claves:Dictionary Learning, Feature Extraction, gearbox fault, sparse representation, Vibration signalAutores:Alvarez X., Diana Jadan-Avilés, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:scopusDeep Learning-Based Gear Pitting Severity Assessment Using Acoustic Emission, Vibration and Currents Signals
Conference ObjectAbstract: A method for gearbox pitting faults severity classification using Deep Learning techniques is reportPalabras claves:Acoustic Emission, deep learning, Faults detection, gearbox, Long short term memory networksAutores:Diego R. Cabrera, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:scopusDetecting Activation in fMRI Data: An Approach Based on Sparse Representation of BOLD Signal
ArticleAbstract: This paper proposes a simple yet effective approach for detecting activated voxels in fMRI data by ePalabras claves:Autores:Guillen B., Paredes J.L., Ruben Medina MolinaFuentes:scopusA LSTM Neural Network Approach using Vibration Signals for Classifying Faults in a Gearbox
Conference ObjectAbstract: A deep learning based method for classifying multi-class faults in a gearbox is presented. A set ofPalabras claves:deep learning, Faults classification, gearboxes, Long short term memory networks, Vibration signalsAutores:Diego R. Cabrera, Jean Carlo Macancela Poveda, Li C., Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Ruben Medina Molina, Vásquez R.E.Fuentes:scopusA dictionary sparse based representation of vibration signals for gearbox fault detection
Conference ObjectAbstract: Detection of faults in the early stages for rotating machinery is important for optimizing maintenanPalabras claves:Dictionary Learning, Gearbox fault detection, Rotating machinery, Sparse based signal representationAutores:Alvarez X., Diana Jadan-Avilés, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:googlescopusA sparse based approach for detecting activations in fMRI
Conference ObjectAbstract: In this paper, we propose a simple approach for detecting activated voxels in fMRI data by exploitinPalabras claves:Autores:Guillen B., Paredes J.L., Ruben Medina MolinaFuentes:scopusClassification of LV wall motion in cardiac MRI using kernel Dictionary Learning with a parametric approach
Conference ObjectAbstract: In this paper, we propose a parametric approach for the assessment of wall motion in Left VentriclePalabras claves:Autores:Bellanger J., Donal E., Garreau M., Leclercq C., Mantilla J., Paredes J.L., Ruben Medina MolinaFuentes:scopusPoincare<sup>́</sup> Plot Features and Statistical Features From Current and Vibration Signals for Fault Severity Classification of Helical Gear Tooth Breaks
ArticleAbstract: Most of the approaches of feature extraction for data-driven rotating machinery fault diagnosis assuPalabras claves:Artificial Intelligence, big data and analytics, data-driven engineering, engineering informatics, gearbox fault severity diagnosis, machine learning for engineering applicationsAutores:Diego R. Cabrera, Mariela Cerrada Lozada, Mario Peña, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:scopus