Abstract
This work proposes a novel concept for an intelligent and semi-autonomous human-cyber-physical system (HCPS) to operate future wind turbines in the context of Industry 5.0 technologies. The exponential increase in the complexity of next-generation wind turbines requires artificial intelligence (AI) to operate the machines efficiently and consistently. Evolving the current Industry 4.0 digital twin technology beyond a sole aid for the human decision-making process, the digital twin in the proposed system is used for highly effective training of the AI through machine learning. Human intelligence (HI) is elevated to a supervisory level, in which high-level decisions made through a human–machine interface break the autonomy, when needed. This paper also identifies and elaborates key enabling technologies (KETs) that are essential for realizing the proposed HCPS.
Original language | English |
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Article number | 561 |
Journal | Sustainability |
Volume | 13 |
Issue number | 2 |
Number of pages | 10 |
ISSN | 2071-1050 |
DOIs | |
Publication status | Published - 2021 |
Keywords
- WInd turbine
- Humn intelligence
- Artificial intelligence
- Machine learning
- Digital twin
- Industry 5.0