Mostrando 10 resultados de: 13
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Journal of Intelligent and Fuzzy Systems(3)
2020 IEEE ANDESCON, ANDESCON 2020(1)
Applied Sciences (Switzerland)(1)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(1)
Engineering Applications of Artificial Intelligence(1)
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Física aplicada(11)
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Otras ramas de la ingeniería(2)
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Instrumentos de precisión y otros dispositivos(1)
A 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:scopusA comparison of fuzzy clustering algorithms for bearing fault diagnosis
Conference ObjectAbstract: Bearings are one of the most omnipresent and vulnerable components in rotary machinery such as motorPalabras claves:Bearing, fault classification, Fault Detection, Fault diagnosis, Fcm, FCMFP, Fn-dbscan, Fuzzy Clustering, fuzzy rules, Gustafson-Kessel clusteringAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ulutagay G.Fuentes:googlescopusA semi-supervised approach based on evolving clusters for discovering unknown abnormal condition patterns in gearboxes
Conference ObjectAbstract: Fault diagnosis plays a crucial role to maintain healthy conditions in rotating machinery. In real iPalabras claves:Fault Detection, Fault diagnosis, gearboxes, Knowledge Discovery, Machine learning, semi-supervised learningAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusData-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:scopusAdversarial 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:googlescopusFrom fault detection to one-class severity discrimination of 3D printers with one-class support vector machine
ArticleAbstract: The lack of faulty condition data reduces the feasibility of supervised learning for fault detectionPalabras claves:3D printer, Bidirectional generative adversarial network, Fault Detection, One-Class Support Vector Machine, Severity discriminationAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Estupinan E., Fernando Sancho-Caparrini, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals
ArticleAbstract: Collecting data from mechanical systems in abnormal conditions is expensive and time consuming. ConsPalabras claves:3D printers, Adversarial learning, Condition-Based Maintenance, convolutional neural networks, Fault DetectionAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Li C., Long J., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Valente de Oliveira J.Fuentes:googlescopusFuzzy determination of informative frequency band for bearing fault detection
ArticleAbstract: Detecting early faults in rolling element bearings is a crucial measure for the health maintenance oPalabras claves:Envelope demodulation, Fault Detection, Fuzzy Clustering, Fuzzy comprehensive evaluation, Rolling element bearingAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFast feature selection based on cluster validity index applied on data-driven bearing fault detection
Conference ObjectAbstract: The Prognostics and Health Management (PHM) approach aims to reduce potential failures or machine doPalabras claves:bearings, classification, Cluster validity index, Fault Detection, feature selectionAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, Mario Peña, René-Vinicio Sánchez LojaFuentes:googlescopusObserver-biased bearing condition monitoring: From fault detection to multi-fault classification
ArticleAbstract: Bearings are simultaneously a fundamental component and one of the principal causes of failure in roPalabras claves:Bearing, Fault Detection, Fault diagnosis, Fuzzy Clustering, Observer-biased clustering, Wavelets packed transformAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopus