Probabilistic Prognosis of Wind Turbine Faults With Feature Selection and Confidence Calibration-Reference-Cited by-同舟云学术

Probabilistic Prognosis of Wind Turbine Faults With Feature Selection and Confidence Calibration

Published:2024-01 Issue:1 Volume:15 Page:52-67
ISSN:1949-3029
Container-title:IEEE Transactions on Sustainable Energy
language:
Short-container-title:IEEE Trans. Sustain. Energy

Author:

Xu Jian¹^ORCID,Jiang Xinxiong¹^ORCID,Liao Siyang¹^ORCID,Ke Deping¹^ORCID,Sun Yuanzhang¹,Yao Liangzhong¹^ORCID,Mao Beilin¹

Affiliation:

1. Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, School of Electrical Engineering and Automation, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Renewable Energy, Sustainability and the Environment

Link

http://xplorestaging.ieee.org/ielx7/5165391/10367191/10114598.pdf?arnumber=10114598

Reference50 articles.

1. Challenges and solution technologies for the integration of variable renewable energy sources—a review

2. Global wind report 2022: Annual market update;Council,2022

3. A Multi-Fault Detection Method With Improved Triplet Loss Based on Hard Sample Mining

4. A Conditional Convolutional Autoencoder-Based Method for Monitoring Wind Turbine Blade Breakages

5. Condition Monitoring of Wind Turbine Generators Using SCADA Data Analysis

Cited by 5 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

1. Collaborative optimization of renewable energy power systems integrating electrolytic aluminum load regulation and thermal power deep peak shaving;Applied Energy;2024-11

2. Dual-module multi-head spatiotemporal joint network with SACGA for wind turbines fault detection;Energy;2024-11

3. Advancing neural network calibration: The role of gradient decay in large-margin Softmax optimization;Neural Networks;2024-10

4. A Novel Method for Parameter Identification of Distribution Network with Incomplete Observability of Node Voltages;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

5. A Hybrid Feature Selection and Construction Method for Detection of Wind Turbine Generator Heating Faults;2023 4th International Conference on Clean and Green Energy Engineering (CGEE);2023-08-26