Mostrando 10 resultados de: 23
Filtros aplicados
Publisher
Journal of the Franklin Institute(2)
Neurocomputing(2)
Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(2)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(1)
Área temáticas
Física aplicada(11)
Métodos informáticos especiales(7)
Ciencias sociales(1)
Humanidad(1)
Ingeniería y operaciones afines(1)
Bayesian 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:scopusA 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 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 hybrid heuristic algorithm for evolving models in simultaneous scenarios of classification and clustering
ArticleAbstract: Machine Learning is currently an important research field that attracts interest due to its importanPalabras claves:classification, Clustering, Data Mining, Evolving learning, Hybrid learning, Incremental learningAutores:Altamiranda J., José Lisandro Aguilar Castro, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery
Conference ObjectAbstract: Selecting an adequate machine learning model, e.g. for feature selection or classification, is a verPalabras claves:Autores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusA review of vibration machine diagnostics by using artificial intelligence methods
OtherAbstract: In the industry, gears and rolling bearings failures are one of the foremost causes of breakdown inPalabras claves:Autores:Diego Cabrera Mendieta, René-Vinicio Sánchez LojaFuentes:googleA statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions
ArticleAbstract: Gearboxes are crucial devices in rotating power transmission systems with applications in a varietyPalabras claves:classification, Fault diagnosis, feature selection, gearbox, Neural networks, Statistic testsAutores:Artés M., Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusConvolutional Neural Networks Using Fourier Transform Spectrogram to Classify the Severity of Gear Tooth Breakage
Conference ObjectAbstract: Gearboxes are essential devices for some applications, e.g., industrial rotating mechanical machinesPalabras claves:Convolutional neural network, Fault severity, Fourier transform, Gearbox Diagnosis, SpectrogramAutores:Diego R. Cabrera, Filho C.J.A.B., Mariela Cerrada Lozada, Monteiro R.P., René-Vinicio Sánchez LojaFuentes:scopusData-Driven Gearbox Fault Severity Diagnosis Based on Concept Drift
Conference ObjectAbstract: Condition-based maintenance aims to determine the machine state in real time, by monitoring the signPalabras claves:Concept drift, concept evolution, Fault Detection, Jensen-Shannon divergence, Kullback-Leibler divergenceAutores:Diego R. Cabrera, Lanzarini L.C., Mariela Cerrada Lozada, Mario Peña, René-Vinicio Sánchez LojaFuentes:scopus