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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:googlescopusAdvances in intelligent computing for diagnostics, prognostics, and system health management
Conference ObjectAbstract:Palabras claves:Autores:Jose Valante De Oliveira, Li C.Fuentes:scopusFuzzy 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:googlescopus