New fault bearing system for proactive detection in induction machines based on variable projection method: A comparative study

Abstract

Nowadays, when it comes to bearing faults monitoring, several solutions and implementations are in vogue due to the interest they arouse. It can be seen both in the types of hardware solutions used and, in the signal-processing algorithms and techniques employed. However, for a fault such as the bearing fault, which accounts for 41% of all faults in these systems and is also the source of the majority of other faults, it appears that the approaches used until now are insufficient for containing this fault and the losses it generates. The aim of this work is to present a new system dedicated exclusively to bearings, while also conducting a comparative study of the various algorithms currently used for mechanical fault detection, based on the mathematical model of the stator current signal used in the MCSA method, which is very close to the induced current signal. At the end, results of all simulations demonstrated that, in addition to the ESPRIT-TLS method, which is currently the best in terms of accuracy, the Varpro method could be a promising alternative.