An application of particle swarm optimization to the tracking of faulty lines for the monitoring of outer-race bearing faults - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

An application of particle swarm optimization to the tracking of faulty lines for the monitoring of outer-race bearing faults

Hubert Razik

Résumé

In this paper we focus our attention on the tracking of faulty lines emerging in the stator current in an induction motor. The defect retained is the appearance of a problem of outer race fault in ball bearings. To do that, a particle swarm optimization algorithm is used in order to track these faulty lines. Consequently, we would be able to inform the operator on the presence or not of a defect thanks to this approach. This one is easy to implement and does not required a huge calculation process. Results and methodology illustrate the efficiency of this type of approach.
Fichier non déposé

Dates et versions

hal-00821649 , version 1 (11-05-2013)

Identifiants

Citer

Hubert Razik, Mohamed El Kamel Oumaamar. An application of particle swarm optimization to the tracking of faulty lines for the monitoring of outer-race bearing faults. CMD, Sep 2012, Bali, Indonesia. pp.710 - 713, ⟨10.1109/CMD.2012.6416245⟩. ⟨hal-00821649⟩
126 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More