A comparison of fuzzy clustering algorithms for bearing fault diagnosis

Conference Object

Abstract: Bearings are one of the most omnipresent and vulnerable components in rotary machinery such as motor

Palabras claves:

Bearing, fault classification, Fault Detection, Fault diagnosis, Fcm, FCMFP, Fn-dbscan, Fuzzy Clustering, fuzzy rules, Gustafson-Kessel clustering

Autores:

Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez Loja, Ulutagay G.

Fuentes:

google

scopus