A Normal Behavior Model Based on Power Curve and Stacked Regressions for Condition Monitoring of Wind Turbines-Reference-Cited by-同舟云学术

A Normal Behavior Model Based on Power Curve and Stacked Regressions for Condition Monitoring of Wind Turbines

Author:

Bilendo Francisco¹^ORCID,Badihi Hamed¹^ORCID,Lu Ningyun¹^ORCID,Cambron Philippe²^ORCID,Jiang Bin¹^ORCID

Affiliation:

1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Jiangning, China

2. Department of Wind Energy Research and Development (R&D), Power Factors, Montreal, Canada

Funder

National Natural Science Foundation of China

Research Fund of State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference43 articles.

1. A study of cross-validation and bootstrap for accuracy estimation and model selection;kohavi;Proc Int Joint Conf Artif Intell (IJCAI),1995

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. A Normal Behavior Model Based on Machine Learning for Wind Turbine Cyber-Attack Detection;2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE);2024-05-20