Reliability assessment for Chinese domestic wind turbines based on data mining techniques-Reference-Cited by-同舟云学术

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Reliability assessment for Chinese domestic wind turbines based on data mining techniques

Published:2017-12-08 Issue:3 Volume:21 Page:198-209
ISSN:1095-4244
Container-title:Wind Energy
language:en
Short-container-title:Wind Energy

Author:

Su Chun¹^ORCID,Hu Zhaoyong¹

Affiliation:

1. School of Mechanical Engineering; Southeast University; Nanjing 211189 China

Funder

Fundamental Research Funds for the Central Universities

Open Fund of Jiangsu Wind Power Engineering Technology Center of China

Graduate Training Innovative Projects Foundation of Jiangsu Province

National Natural Science Foundation of China

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Reference26 articles.

1. Wind power development and policies in China;Liao;Renew Energy,2010

2. Role of renewable energy sources in environmental protection: a review;Panwar;Renew Sustain Energy Rev,2011

3. Overall review of renewable energy subsidy policies in China-contradictions of intentions and effects;Shen;Renew Sustain Energy Rev,2015

4. Comparative assessment of performance of foreign and local wind turbine manufacturers in China;Zhao;Renew Energy,2012

5. Wind turbine downtime and its importance for offshore deployment;Faulstich;Wind Energy,2011

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1. Reliability analysis of wind turbines considering seasonal weather effects;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2024-03-04

2. Optimization of periodic maintenance for wind turbines based on stochastic degradation model;Archives of Electrical Engineering;2024-01-02

3. Design of Steam Thermal Deicing Control System for Wind Turbine Blades Based on BP Neural Network Algorithm;2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC);2023-09-25

4. Opportunistic maintenance optimisation for offshore wind farm with considering random wind speed;International Journal of Production Research;2023-05-03

5. A state-of-the-art review of the vibration and noise of wind turbine drivetrains;Sustainable Energy Technologies and Assessments;2021-12

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