Sensor Data Visualization for Motor Quality Assessment Using Digital Twin Technology: An Experimental Study

The Digital Twin technology proposed in this paper is aimed at improvement of motor quality assessment through sensor data visualization with the help of interactive 3D models created in Unity 3D. This has sensors to measure crucial aspects such as temperature, vibrations and rotational speed of the motor which are the key indicators of the motor. The virtual model of the motor allows evaluating its performance and detection of potential problems such as abnormal temperature, vibration and data overload. Sensor data is projected onto the 3D model aiding technicians in visualizing complex data which enhances their understanding. The proposed system also supports a predictive maintenance approach aimed at prolonging the life span of the motors and improving the operations. The speed at which data is interpreted allows technicians to take necessary actions, thus ensuring the motor performance efficiency and reliability. Since the existing system lacks real time data, it leads to delay in early diagnosis of the motor breakdown. The proposed model allows monitoring of real time motor performance by incorporating Digital Twin and interactive 3D technologies.