Digital Twin for Condition Monitoring

Abstract

A digital twin is an enhanced digital representation of a real system. Digital twins can mimic the operation of physical systems and use data captured from their sensors to detect abnormal conditions and diagnose the cause of the problem. This report outlines the development of a digital twin for condition monitoring of a vibrating overhanging beam. The digital twin is designed to collect real-time data from sensors, such as vibration, and uses Microsoft Azure Function to process and analyse the data. The system is then linked with Ansys software to perform simulations and predict potential faults or failures in the beam. The report discusses the development process, including sensor selection, data collection and analysis, and the integration of Ansys simulations with the digital twin. Additionally, the report highlights the benefits of using digital twin technology for condition monitoring, such as improved equipment performance and reduced maintenance costs. The results of this project demonstrate the effectiveness of digital twin technology in providing early detection of potential faults and failures in industrial equipment. The report also discusses the potential for further research and development in this field to optimize the digital twin technology for condition monitoring of other industrial systems.