Digital Twins are computer models of a physical structures, mechanism, process or system that accurately describe its physical behaviour. These models are often used for condition monitoring and allows for real-time monitoring of complex systems based on data from only a few sensors [1, 2].
Norcompute specialises in customised digital twins tailored to meet the unique needs of our clients. With advanced knowledge in finite element methods (FEM), digital twins are developed to accurately represent complex engineering systems and processes. Whether you require digital twins for virtual testing, model validation, or system integration, our team has the knowledge and experience to deliver tailored solutions that meet your specific requirements.
With decades of combined experience in FEM and simulation, our team possesses a deep understanding of the underlying principles and methodologies that drive successful digital twin development. We work closely with our clients to understand their objectives, constraints, and performance criteria, allowing us to create digital twins that accurately capture the behavior of their systems.
Our digital twin process begins with a thorough analysis of the system requirements and specifications. We then leverage advanced simulation techniques to model the system dynamics, including structural, thermal, fluid, and electromechanical interactions. The resulting digital twins are highly accurate and reliable, providing our clients with valuable insights into the performance of their systems.
Whether you need digital twins for virtual prototyping, model-based design, or predictive maintenance, we can customise our solutions to meet your specific needs. Our team is committed to delivering high-quality FMUs that enable our clients to make informed decisions and optimise their engineering processes.
Partner with Norcompute AS for customised digital twin development and unlock new possibilities in virtual testing and simulation. Contact us today to learn more about how we can help you achieve your goals.
References
[1] Moi et al. (2020)
Digital twin based condition monitoring of a knuckle boom crane: An experimental study
https://doi.org/10.1016/j.engfailanal.2020.104517
[2] Rølvåg et al. (2024)
Digital Twin supported Structural Health Monitoring of Test Rigs for Wave Energy Applications
Copyright © With exclusive rights
