Research on Application of Information Model in Wind Turbine Fault Diagnosis
Author:
Affiliation:
1. China Academy of Information and Communications Technology, China
2. Shenyang Institute of Automation,Chinese Academy of Sciences, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3460268.3460278
Reference11 articles.
1. The prediction and diagnosis of wind turbine faults
2. A classifier fusion system for bearing fault diagnosis
3. Operation condition classification method for wind turbine based on support vector machine[J];Yongqian Liu;Acta Energiae Solaris Sinica,2010
4. Digital twin and its potential application exploration[J];Fei Tao;Computer Integrated Manufacturing Systems,2018
5. 《Industrial Internet Information Model White Paper》. 2020 4. 《Industrial Internet Information Model White Paper》. 2020 4.
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1. Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities;Sensors;2023-08-10
2. Digital-twin-based testing for cyber–physical systems: A systematic literature review;Information and Software Technology;2023-04
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