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Fuzzy Sets and Systems(2)
IEEE International Conference on Fuzzy Systems(2)
IEEE Transactions on Fuzzy Systems(2)
Mechanical Systems and Signal Processing(2)
Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018(2)
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Física aplicada(9)
Programación informática, programas, datos, seguridad(8)
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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:googlescopusAn algorithmic framework for development and optimization of fuzzy models
ArticleAbstract: Fuzzy models can be conveniently regarded as linguistic modelling structures with well-defined functPalabras claves:Fuzzy modelling, Fuzzy relational structures, Genetic Algorithms, Input-output interfaces, Possibility theory, Semantic integrityAutores:Jose Valante De Oliveira, Pedrycz W.Fuentes:scopusA Design Methodology for Fuzzy System Interfaces
ArticleAbstract: Conceptually, a fuzzy system interacting with a numerical environment has three components: a numeriPalabras claves:Autores:Jose Valante De OliveiraFuentes: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:scopusA comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality pbkp_rediction
ArticleAbstract: Manufacturing quality pbkp_rediction model, as an effective measure to monitor the quality in advancPalabras claves:Isomap, LLE, Manufacturing quality pbkp_rediction, PCa, SVMAutores:Bai Y., Jose Valante De Oliveira, Li C., Li L., Long J., Sun Z., Zeng B.Fuentes:scopusA 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 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:googlescopusDeep Learning-Based Gear Pitting Severity Assessment Using Acoustic Emission, Vibration and Currents Signals
Conference ObjectAbstract: A method for gearbox pitting faults severity classification using Deep Learning techniques is reportPalabras claves:Acoustic Emission, deep learning, Faults detection, gearbox, Long short term memory networksAutores:Diego R. Cabrera, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ruben Medina MolinaFuentes:scopus