A smart wireless sensor for the diagnosis of broken bars in induction motors

This paper presents a solution for the low-cost implementation of diagnosis techniques for induction motors using networked intelligent wireless sensors. Based on computation “at the edge”, the proposed approach is particularly suitable for large networks. The analysis of the stator current spectrum of a broken rotor bar is presented as study case. The suitability and the implementation efficiency of the Zoom-FFT algorithm on the smart wireless sensor based on reconfigurable hardware is demonstrated.