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Clustering algorithm using rough set theory for unsupervised feature selection
Conference ObjectAbstract: Nowadays, the available data to describe real world problems grows in considerable manner, due to thPalabras claves:Autores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusCombining Design Thinking and Agile to Implement Condition Monitoring System: A Case Study on Paper Press Bearings
Conference ObjectAbstract: Nowadays, technologies and strategies to bring processes toward the Industry 4.0 paradigm go beyondPalabras claves:Agile, Bearing Fault, condition monitoring, DESIGN THINKING, industry 4.0, Paper IndustryAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Hebkp_redia, Julio Fernando Siguencia, Mariela Cerrada Lozada, Mauricio Leonardo Villacís, René-Vinicio Sánchez LojaFuentes:googlescopusAttribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery
ArticleAbstract: Features extracted from real world applications increase dramatically, while machine learning methodPalabras claves:Attribute clustering, Fault severity classification, feature selection, Rotating machinery, Rough setAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusAudit Model for the Management of Physical Assets Maintenance. Case Study: Mechanical Laboratories at Ecuadorian University
Book PartAbstract: The development and execution of an ideal and feasible model to evaluate the maintenance managementPalabras claves:Assets, Audit model, Maintenance managementAutores:Anderson Mogollón Espinoza, Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, Mayra Puedmag, René-Vinicio Sánchez LojaFuentes:googlescopusAutomatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation
ArticleAbstract: Signals captured in rotating machines to obtain the status of their components can be considered asPalabras claves:Auto-encoder, Convolution, deep learning, Helical gearbox, Wavelet packetsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Fernando Sancho-Caparrini, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusBayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor
ArticleAbstract: Reciprocating compression machinery is the primary source of compressed air in the industry. UndiagnPalabras claves:Bayesian optimization, deep learning, LSTM, Reciprocating compressor, Time-series dimensionality reductionAutores:Adriana del Pilar Guamán Buestán, Adriana Guamán, Cevallos J., Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Zhang S.Fuentes:googlescopusAn adaptive genomic difference based genetic algorithm and its application to memetic continuous optimization
ArticleAbstract: Continuous function optimization is ubiquitous in many branches of Science and Technology. Memetic aPalabras claves:CMA-ES, continuous optimization, evolution strategies, GA, local search, Memetic algorithms, Wang algorithmAutores:Chen Z.Q., Jose Valante De Oliveira, Li C., René-Vinicio Sánchez Loja, Wang R.L.Fuentes:scopusAnova and cluster distance based contributions for feature empirical analysis to fault diagnosis in rotating machinery
Conference ObjectAbstract: The number of extracted features for fault diagnosis in rotating machinery can grow considerably duePalabras claves:Anova, bearings, cluster validity assessment, Fault diagnosis, Feature engineeringAutores:Alvarez X., Diana Jadan-Avilés, Mariela Cerrada Lozada, Mario Peña, Milton F. Barragán-Landy, Pablo M. Lucero, René-Vinicio Sánchez Loja, Wilson Rodrigo Pérez RocanoFuentes:googlescopusA Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification
ArticleAbstract: A bearing is an essential component in rotating machinery, one of its principal cause of failure, anPalabras claves:Bearing, Clustering, fault classification, Probabilistic Fuzzy systems, vibration analysisAutores:Delgado M., Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Ledo L., Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA 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:scopus