Physical Variable Measurement Techniques for Fault Detection in Electric Motors

Induction motors are widely used worldwide for domestic and industrial applications. Fault detection classification techniques based on signal analysis have increased in popularity due to the growing use of induction new technologies such as electric vehicles, automatic control, maintenance systems, inclusion renewable energy sources electrical among others. Hence, monitoring, fault detection, topics interest researchers, given that presence a can lead catastrophic consequences concerning technical financial aspects. To detect an motor, several different physical variables, vibrations, current signals, stray flux, thermographic images, been studied. This paper reviews recent investigations into instruments, faults motors, aiming provide overview pros cons using certain type variable detection. A discussion about accuracy complexity signals is presented, comparing results reported years. work finds vibration most popular employed motors. However, flux presented promising alternative under operating conditions where other methods, analysis, may fail.