Mostrando 10 resultados de: 58
Publisher
Mechanical Systems and Signal Processing(5)
Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019(4)
Sensors (Switzerland)(4)
Journal of Intelligent and Fuzzy Systems(3)
Neurocomputing(3)
Área temáticas
Física aplicada(43)
Métodos informáticos especiales(34)
Ciencias de la computación(15)
Ingeniería y operaciones afines(7)
Otras ramas de la ingeniería(5)
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: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: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: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 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 One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses
ArticleAbstract: In this article, fault diagnosis is of great significance for system health maintenance. For real apPalabras claves:Fault diagnosis, latent knowledge, one-class generative adversarial detection (OCGAD), semisupervised learningAutores:Bai Y., Diego R. Cabrera, Li C., Pu Z.Fuentes:scopusA Review on Neurocomputing Based wind Turbines Fault Diagnosis and Prognosis
Conference ObjectAbstract: Renewable energy, especially wind power energy, has gone through fast growth in the last decade AccoPalabras claves:Artificial Neural, Data-driven approaches, deep learning, Fault diagnosis, Fault prognosis, Machine learning, Wind turbineAutores:Baltazar S., Daniel H., Jose Valante De Oliveira, Li C.Fuentes:scopusA Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis
ReviewAbstract: Bearings are fundamental mechanical components in rotary machines (engines, gearboxes, generators, rPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fault prognosis, Fuzzy Clustering, Fuzzy entropy, fuzzy rulesAutores:Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopus