Using rough sets techniques as a fault diagnosis classifier for induction motors
Erik Leandro Bonaldi, L.E. Borges da Silva, Germano Lambert‐Torres, Levy E. L. de Oliveira, F.O. Assunco · 2003
This paper describes the ongoing research on rough sets based classifier applied to induction motors fault diagnosis through motor current signature analysis (MCSA). The results of mechanical failures detection and how a rough sets based classifier is used as a monitoring system using current signature analysis in predictive maintenance are described in this paper.