Mostrando 10 resultados de: 12
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Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019(2)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
2017 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2017 - Conference Proceedings(1)
2020 IEEE ANDESCON, ANDESCON 2020(1)
Applied Sciences (Switzerland)(1)
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Física aplicada(5)
Métodos informáticos especiales(5)
Ciencias de la computación(3)
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A fuzzy transition based approach for fault severity pbkp_rediction in helical gearboxes
ArticleAbstract: Rotating machinery is an important device supporting manufacturing processes, and a wide research woPalabras claves:Fault detection and diagnosis, Fault severity classification, Fault severity pbkp_rediction, Fuzzy pbkp_rediction, Fuzzy transition probabilityAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., 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 methodology for agent-oriented, engineering systems modeling
ArticleAbstract:Palabras claves:Autores:Bessembel I., Francisco Hidrobo, José Lisandro Aguilar Castro, Mariela Cerrada Lozada, Narciso F.Fuentes:scopusDiagnosis of controlled discrete-event systems: An approach based on chronicles and modular analysis by using automata models
ArticleAbstract: Nowadays industrial process systems are becoming more complex and it is needed simpler and efficientPalabras claves:chronicles, Diagnosability, Discrete-event systems, Fault diagnosis, Fault signatures, Modular diagnosisAutores:González-Miranda O., Mariela Cerrada LozadaFuentes:googlescopusAccelerometer Placement Comparison for Crack Detection in Railway Axles Using Vibration Signals and Machine Learning
Conference ObjectAbstract: In this paper, a methodology for accelerometer placement comparison for crack detection in railway aPalabras claves:Crack detection, feature selection, Machine learning, railway, Vibration signalAutores:Alonso H.R., Diego R. Cabrera, Jean Carlo Macancela Poveda, Li C., Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez LojaFuentes:googlescopusActive fault diagnosis based on consistencies to a class of hybrid systems by using genetic algorithms and markov decision process
Conference ObjectAbstract: Systems are growing in complexity and the fault diagnosis process requires using interdisciplinary mPalabras claves:Active diagnosis, Analytical redundancy relations, Genetic Algorithms, Markov decision process, Structural modelsAutores:Ivan Escandon, Mariela Cerrada LozadaFuentes:scopusGearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
ArticleAbstract: Fault diagnosis is an effective tool to guarantee safe operations in gearboxes. Acoustic and vibratoPalabras claves:Acoustic Emission, data fusion, deep learning, gearbox, Vibration signalAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusEvaluation of time and frequency condition indicators from vibration signals for crack detection in railway axles
ArticleAbstract: Railway safety is a matter of importance as a single failure can involve risks associated with econoPalabras claves:condition monitoring, Crack detection, Feature Extraction, feature selection, Frequency-domain features, Railway axles, Random forest classifier, Time-domain featuresAutores:Alonso H.R., Castejón C., Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez LojaFuentes:googlescopusInfluence of Accelerometer Position on Gearbox Fault Severity Classification through Evaluation of Deep Learning Models
Conference ObjectAbstract: Gears are key elements in mechanical transmission systems. Fault diagnosis in gearboxes is a cuttingPalabras claves:Bayesian optimization, Fault severity classification, hyperparameters search, K-S test, LSTM networksAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Li C., Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Villacrés S.Fuentes:googlescopusIntelligent hybrid system: A reliability based failure control application
ArticleAbstract: Failure management in processes, equipment or plants acquire more importance in modern industry everPalabras claves:Equipment maintenance, Failure Management, fuzzy logic, Industrial Automatization, Intelligent Systems, Neural Netwoks, Reliability centered maintenanceAutores:José Lisandro Aguilar Castro, Mariela Cerrada LozadaFuentes:scopus