Non-Invasive Fault Detection Through External Magnetic Field Aided by Sigma-Delta Microcontroller

Induction motors are widely used in different industrial applications, and although they are robust, they are still susceptible to faults. Based on this, non-invasive monitoring systems have become appropriate devices for monitoring electric motors. This work aims to develop a non-invasive fault detection based on the information provided by the harmonics content of the external magnetic field of the induction motor, through the application of microcontrolled sigma-delta converter to continuously monitor the motor. It has the advantage of signal sampling has no analog filters between the transducer and the microcontroller.