KEYWORDS: Data modeling, Instrument modeling, 3D modeling, Design and modelling, Motion models, Failure analysis, Data processing, Data conversion, Sensors, Visualization
With the development of the equipment maintenance, equipment health monitoring has become the focus of maintenance technology. Aiming at the spatiotemporal uncertainty of multi-factor coupling and failure in equipment health monitoring, a health monitoring system based on PLM using digital twin is proposed. Firstly, the system architecture and main functions are designed according to the characteristics of the health state of large complex equipment and the characteristics of digital twin technology. Secondly, the key technologies are proposed such as data converging, construct model, and prognose health in the digital twin monitoring system to ensure that the system can realize equipment health. Finally, a case study of TBM is proposed to verify the monitoring technology.
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