Induction drive speed monitoring by neural networks

This paper presents a fault detection and isolation (FDI) scheme with neural networks dedicated to the faults in the mechanical part of the drive. This method is designed to be suitable for a variable speed drive fed by an electronic device. After a presentation of the models of the drive components, faults characterization is reminded and the FDI scheme is introduced, trained and tested for different speeds.