Determine the nominal the best based on ANOVA

Determination of The Nominal the Best for ANOVA Taguchi Method

Abstract: The most popular type of motors in use today are squirrel-cage induction motors. All types of motor faults can be studied if a motor could be simulated. For dynamic simulation purposes, inputs and outputs of a simulated motor need to be selected. In this study, stator resistance, stator inductance, rotor bar resistance, rotor bar inductance, rotor end ring resistance, and rotor end ring were selected as the input parameters; these are measured values,not optimum values. Rotations per minute (rpm), torque and stator current were selected as output parameters; they are also provided on the nameplate data on the actual motor. Using MATLAB Simulink, the simulated motor’s values for the output parameters closely matched the nameplate data for the actual motor. This allowed us to compare the results of a simulated motor with and without faults, to better understand and analyze the frequency domain, determine the root cause of the vibrations, and the electromagnetic properties of a physical, faultymotor.The goal of this study was to determine the optimum input parameters of a simulated motor that resulted in the minimum difference between output parameters of a simulated motor and parameters on a nameplate of the actual motor. In this study, the Taguchi method was used to optimize the motor parameters. Input parameters of the simulated motor were successfully optimized for to obtain minimal differences with the nameplate data of the actual motor. In this way, the output values were obtained without using commercial software, based on a novel equation developed during this research work. Therefore, the Taguchi method is able to be calculated using MATLAB. All code work is shown in the paper and the one new formula was developed based on this study. The output parameters of the simulated motor were almost identical to the nameplate data on the actual motor, indicating that our methods and models can be used to simulate a healthy motor. These results allow us to develop dynamic simulations to study a variety of motor faults.