摘要：AbstractIndustry 4.0 requires developing smart systems to maximize the uptime of machines and components. Digital Twins can be defined as a real time exchange of the information between a physical asset and a virtual portrayal in a bidirectional manner. This relationship is best established with a sensor network. LIVE Digital Twin presents a methodology to design model-based Digital Twins for asset management through sensors. This methodology is increasingly useful when the fault history of an asset is not readily available. The LIVE Digital Twin methodology consists of four principle phases, Learn, Identify, Verify, Extend. The goal of this research is to review the application of the LIVE Digital Twin methodology on a case study of a Belt Conveyor System found in the mining industry. Belt Conveyor Systems and their rollers are critical in material transportation and are susceptible to various faulty cases. Using a multi fidelity approach, a case study demonstrates the first two phases of LIVE Digital Twin and identifying the sensor locations. The study concludes with the successful location of 2 sensors on a subassembly of a Belt Conveyor System frame.
