A Human-Cyber-Physical System toward Intelligent Wind Turbine Operation and Maintenance

Sustainability

Xiao Chen¹  MartinA. Eder¹  ASM Shihavuddin²  Dan Zheng³ 

[1] Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark;EEE Department, Green University of Bangladesh, 220/D, Begum Rokeya Sarani, Dhaka 1207, Bangladesh;School of Economics and Management, University of Chinese Academy of Sciences, Zhongguancun East Road 80, Haidian District, Beijing 100000, China;

关键词: wind turbine;    human intelligence;    artificial intelligence;    machine learning;    digital twin;    Industry 5.0;   

DOI  :  10.3390/su13020561

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown