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

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.