Adaptive Notch Filter for Induction Motor Condition Monitoring

Induction motors (IM) are one of the most used electromechanical devices in industrial applications. However, several factors could cause their failure and lead to economical or even human losses. For this reason the IM condition monitoring has been studied for many years. Most of the proposed techniques utilize sophisticated and high-computational-load time-frequency transforms for isolating the signal components related to the IM faults. For this reason to propose low-complex and efficient tools for IM condition monitoring is still necessary. In this work an adaptive second-order digital notch filter for attenuating main frequency component from a signal is introduced for assisting the IM condition monitoring. The effectiveness of the proposed method is validated through simulations and experimentation.