Potential failure detection of induction motor using statistical control chart and thermal imaging sensor

One of the important components in industrial machines is an electric motor. Of the various types of motors, induction motors are most widely applied in the manufacturing industry because they are the prime mover of the machines. This study aims to predict the potential failure of an induction motor by monitoring its temperature periodically. The initial signal of potential failure of the motor can be known from its temperature anomaly. The variable control chart X̄-R is usedto detect temperature anomaly of the motor when the machine is being used for production. Thermal imaging sensor FLIRTG267 is used in this study to record the motor temperature. To Build the control chart, data were collected periodically every 4 hours during machine working hours with four replications for each subgroup sample. It is not dangerous and does not disturb theperformance of the motor if its temperature fall below the lower control limit. Because of excessive heat is an indication of potential failure, we proposed to carry out an inspection to the motor when its temperature is above the upper control limit to prevent immediate failure. The upper control limit for monitoring the temperature of the induction motor is 68.7° C.