Research on Meteorological Causes and Risk Distribution of Wind Turbine Blade Icing Based on Interpretable Machine Learning
|更新时间:2026-06-30
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Research on Meteorological Causes and Risk Distribution of Wind Turbine Blade Icing Based on Interpretable Machine Learning
Power Generation TechnologyPages: 1-10(2026)
作者机构:
1.华电电力科学研究院有限公司,浙江省 杭州市 310030
2.中国华电集团有限公司,北京市 西城区 100032
作者简介:
基金信息:
National Key Research and Development Program of China(2024YFB4205605)
DOI:
CLC:TK 83;TM 614
Received:09 April 2026,
Revised:2026-05-25,
Online First:30 June 2026,
稿件说明:
移动端阅览
徐思达,严新荣,马东等.基于可解释机器学习的风机叶片覆冰气象成因与风险分布研究[J].发电技术,
XU Sida,YAN Xinrong,MA Dong,et al.Research on Meteorological Causes and Risk Distribution of Wind Turbine Blade Icing Based on Interpretable Machine Learning[J].Power Generation Technology,
XU Sida,YAN Xinrong,MA Dong,et al.Research on Meteorological Causes and Risk Distribution of Wind Turbine Blade Icing Based on Interpretable Machine Learning[J].Power Generation Technology,DOI:10.12096/j.2096-4528.pgt.01.
Research on Meteorological Causes and Risk Distribution of Wind Turbine Blade Icing Based on Interpretable Machine Learning