Condition monitoring of bearings is an open issue. The use of the stator current to monitor
induction motors has been validated as a very advantageous and practical way to detect …

Three-phase induction motor are one of the most important elements of electromechanical
energy conversion in the production process. However, they are subject to inherent faults or …

Three-phase induction motors are the most commonly used devices for electromechanical
energy conversion. This study proposes an alternative approach for identifying bearing …

This paper deals with artificial neural network approach for automatic detection of severity
level of stator winding fault in induction motor. The problem is faced through modelling and …

Induction motors are most common load in industry today. The sustainable and continuous
operation of induction motors is the key objective of successful modern factory to prevent …

Les machines asynchrones sont omniprésentes dans les systèmes de production
automatisé à cause de leur robustesse et leur facilitée de mise en oeuvre. Néanmoins, ces …

Induction machines are omnipresent in industry because of their sturdiness and their ease of
implementation. Nevertheless, these electrical motors still concede failures [eg, interturn …

This paper proposes an approach based on intelligent systems for the classification and
diagnosis of bearing fault evolution in inverter-fed induction motors, operating at steady state …

This work deals with neural network approach for automatic detection of stator winding fault
of the induction motor. The problem is faced through modeling of induction motor with short …

Due to its sturdiness, low cost and ease of implementation, the induction machine is one of
the most common electrical motors used in industry. However, this machine still concedes …