Digital Twins Selected Reading: Predictive Modeling in Wind Turbines

2024-05-12 162 words One minute

Contents

Digital Twin (DT) is a technology that creates a virtual replica of physical entities and processes for real-time analysis. DT approach enables what-if analysis over with high accuracy models that classic simulations cannot handle.

/posts/dt-wind-turbines/dt.png — Digital Twin Arch

IoT (Internet of Things) and Artificial Intelligence (AI) are crucial technologies that enable Digital Twin (DT) systems. In DT, a physical asset is replicated in real-time through two-way communication channels, while virtual models represent the asset virtually. AI and Machine Learning analyze the data generated by the virtual models.

DT systems are used in almost every sector, such as manufacturing, automotive, supply chain, architecture, construction, healthcare, retail, energy, education …etc.

The following paper, in which Fahim et al. describe wind turbine predictive maintenance modeling through digital twins, provides more detailed information.

Note

M. Fahim, V. Sharma, T. -V. Cao, B. Canberk and T. Q. Duong, “Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines,” in IEEE Access, vol. 10, pp. 14184–14194, 2022, doi: 10.1109/ACCESS.2022.3147602.