Research on Information Tracing Method of Wind Turbine Full Life Cycle Based on Trusted Identification

Author:

Xiao Leifeng1,Lu Cheng1,Sun Wenlei1,Chang Saike1

Affiliation:

1. Xinjiang University,Smart Manufacturing Modern Industrial College,Urumqi,China

Publisher

IEEE

Reference11 articles.

1. Key technologies in visualized intelligent management platform for life cycle of wind power systems[J];Zhu;Journal of Southwest Jiaotong University,2020

2. Status and Prospect of China’s wind power development in 2021[J];Feng;Water Power,2022

3. Research progress on fault diagnosis and status prediction of wind turbines[J];Li;Automation of Electric Power Systems,2021

4. Design of remote centralized monitoring and production management system for wind farm groups[J];Wan;Jiangxi Electric Power,2016

5. Quality and Safety Traceability of Grains and Oils Based on Trusted Blockchain and Trusted Identity[J];Xu;Food Science,2023

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