電動機のモデルベース診断手法の開発

抄録

Since electric motors (including generators) are used and play crucial roles in various industries, it is important to diagnose their conditions appropriately to avoid troubles in advance. A motor is a device that converts the electric energy into the rotational (mechanical) energy. Electric motors consist of multisystem and operate through the interaction between the magnetic field and electric current in windings to generate the torque applied on the motor shaft. So, it is effective to comprehensively diagnose the motor conditions by monitoring multi-measurement data such as vibration, electronic current and temperature etc. In this paper, we focus on a multi-physics simulation in order to diagnose the motor conditions and formulate the model of an electric motor with magnetic circuit network method to evaluate dynamic behavior including a motor shaft. Our analytical result shows the effect of mechanical behavior to electric current.