Mostrando 8 resultados de: 8
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Journal of Intelligent and Fuzzy Systems(4)
Fuzzy Sets and Systems(1)
Mechanical Systems and Signal Processing(1)
Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018(1)
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Física aplicada(6)
Métodos informáticos especiales(5)
Ciencias de la computación(1)
Humanidad(1)
Ingeniería y operaciones afines(1)
A comparative feature analysis for gear pitting level classification by using acoustic emission, vibration and current signals
Conference ObjectAbstract: this paper addresses the comparison of features, extracted in the time domain, from vibration, acousPalabras claves:Acoustic Emission, current, Fault diagnosis, fault level, pitting fault, spur gearbox, vibrationAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusA 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 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 review on data-driven fault severity assessment in rolling bearings
ReviewAbstract: Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in induPalabras claves:Fault assessment, Fault severity, Fault size, Quantitative diagnosis, Rolling bearingsAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Vásquez R.E.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:googlescopusGKFP: A new fuzzy clustering method applied to bearings diagnosis
Conference ObjectAbstract: This paper proposes a new clustering method called Gustafson-Kessel with Focal Point (GKFP). The proPalabras claves:Bayes Inference, Clustering, Fuzzy covariance matrix, GKFPAutores:Delgado M., Diego Cabrera Mendieta, Diego R. Cabrera, Jose Valante De Oliveira, Ledo L., Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusFeature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN
Conference ObjectAbstract: Gearboxes and bearings play an important role in industries for motion and torque transmission machiPalabras claves:Feature ranking, Multi-fault diagnosis, Rotating machinery, time featuresAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez Loja, Vásquez R.E.Fuentes:googlescopusEcho state network and variational autoencoder for efficient one-class learning on dynamical systems
Conference ObjectAbstract: Usually, time series acquired from some measurement in a dynamical system are the main source of infPalabras claves:deep learning, Dynamical system modeling, reservoir computing, variational inferenceAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fernando Sancho-Caparrini, Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Tobar F.Fuentes:googlescopus