Embedded FPGA based induction motor monitoring system with speed drive fed using multiple wavelet analysis

Preventive maintenance on machinery is one of the major concerns in industry. Induction motors represent 85% of the total power consumption in the world and several faults related to these motors that increase the power consumption are not easily detected; therefore, periodic fault monitoring is mandatory. There are several techniques for fault detection in induction motors being current analysis the most popular among others. This techniques are focused on the analysis of induction motors that are directly fed by the line and do not consider the induced effects due to speed drives. The novelty of this research is the proposal of a new technique, based on discrete wavelet transform for transient analysis at the motor start, for broken rotor bar detection on induction motors fed in both: directly and with speed drive. The contribution of the present work is the development of a field programmable gate array embedded system implementation of a broken rotor bar on-line monitoring system for a low cost embedded system approach. Results from experimentation show the overall system performance. It is demonstrated that the proposed methodology is efficient to detect the motor faults when directly or speed drive fed.