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Proceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017(2)
Engineering Applications of Artificial Intelligence(1)
IEEE Access(1)
Journal of Intelligent and Fuzzy Systems(1)
Neurocomputing(1)
A 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 statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions
ArticleAbstract: Gearboxes are crucial devices in rotating power transmission systems with applications in a varietyPalabras claves:classification, Fault diagnosis, feature selection, gearbox, Neural networks, Statistic testsAutores:Artés M., Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Grover Zurita, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusDeep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis
ArticleAbstract: Nowadays, intelligent models can correctly detect faults by analysing signals from rotating machinerPalabras claves:deep learning, Fault diagnosis, Rotating machinery, Transfer learning, Vibration signalAutores:Diego R. Cabrera, Drimus A., Duggen L., Fannia Pacheco, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusFramework for discovering unknown abnormal condition patterns in gearboxes using a semi-supervised approach
Conference ObjectAbstract: Fault diagnosis plays a crucial role to maintain healthy conditions in rotating machinery. This papePalabras claves:Fault Detection, Fault diagnosis, gearboxes, Knowledge Discovery, semi-supervised learningAutores:Fannia Pacheco, Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:scopusObserver-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:googlescopusSOA Based Integrated Software to Develop Fault Diagnosis Models Using Machine Learning in Rotating Machinery
Conference ObjectAbstract: Fault detection and diagnostic software (FDDS) supports technicians and engineers to deal with operaPalabras claves:e-Maintenance, Fault diagnosis, Industrial supervision, Machine learning, Rotating machinery, SOAAutores:Diego R. Cabrera, Fannia Pacheco, Jean Carlo Macancela Poveda, Mariela Cerrada Lozada, Pablo M. Lucero, René-Vinicio Sánchez LojaFuentes:googlescopusSome preliminary results on the comparison of fcm, gk, fcmfp and fn-dbscan 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 R. Cabrera, Fannia Pacheco, Li C., Mariela Cerrada Lozada, Oliveira J.V.D., René-Vinicio Sánchez Loja, Ulutagay G.Fuentes:scopus