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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: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: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