Mostrando 7 resultados de: 7
Filtros aplicados
Publisher
Expert Systems with Applications(1)
IEEE Transactions on Fuzzy Systems(1)
IEEE Transactions on Industrial Electronics(1)
IEEE Transactions on Industrial Informatics(1)
IEEE/ASME Transactions on Mechatronics(1)
Área temáticas
Métodos informáticos especiales(4)
Ciencias de la computación(3)
Física aplicada(2)
Ingeniería y operaciones afines(1)
A 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 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 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:scopusDeep hybrid state network with feature reinforcement for intelligent fault diagnosis of delta 3-D printers
ArticleAbstract: An echo state network (ESN) is a type of recurrent neural network that is good at processing time-sePalabras claves:Deep hybrid state network (DHSN), delta three-dimensional (3-D) printer, Fault diagnosis, feature reinforcementAutores:Bai Y., Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Long J., Sun Z., Zhang S.Fuentes:googlescopusAdversarial Fault Detector Guided by One-Class Learning for a Multistage Centrifugal Pump
ArticleAbstract: The data unavailability of critical machinery is an open issue in the field of condition-based maintPalabras claves:Anomaly detection, Condition-Based Maintenance, Fault Detection, Feature Extraction, Generative Adversarial Network, Generative Adversarial Networks, hydraulic pump, mathematical models, Pumps, Task analysis, VibrationsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Estupinan E., Li C., Long J., Mariela Cerrada Lozada, Mauricio Leonardo Villacís, René-Vinicio Sánchez Loja, Sancho F.Fuentes:googlescopusProduct quality reliability analysis based on rough Bayesian network
ArticleAbstract: Simultaneous quality reliability analysis can detect the weak links in production process as early aPalabras claves:Bayesian network, Minimum rules, Product quality, Reliability analysis, Rough setAutores:Bai Y., Diego R. Cabrera, Wang X., Zhang W.Fuentes:scopusSliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot
ArticleAbstract: We investigate the role of the loss function in cycle consistency generative adversarial networks (CPalabras claves:Conditional cycle consistency generative adversarial networks, Cycle consistency generative adversarial networks, Generative Adversarial Networks, industrial robots, Scarce faulty data augmentation, Sliced Wasserstein distanceAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Li C., Pu Z., Valente de Oliveira J.Fuentes:googlescopus