This paper proposes an artificial neural network for monitoring and detecting the eccentric error of synchronous reluctance motors. Firstly, a 15 kW motor is introduced took as case study to investigate effects rotor. Then, equivalent magnetic circuits studied are analyzed developed, in cases dynamic rotor static condition, respectively. After that, analytical equations derived, terms its air-g...