In this study, a factory induction motor (IM) was monitored with wireless TCP/IP protocol in order to detect and predict deviations from normal operating parameters before the occurrence of motor failure. In this way, the production process is not impeded and the required maintenance or replacement can be performed with the least possible disruption. In this study, the motor cycle, the current drawn by the motor and the motor voltage were read by the Hall-effect current sensor and the required power consumption was calculated. With this aim, the designed architecture read the accepted parameters of the motor and reported them to the central management software. The central management software operating in real time was then able to assemble these parameters and form predictive maintenance models.