Statistically Optimal Vibration Feature Selection for Fault Diagnosis in Wind Turbine Blade

IF 1 Q4 ENERGY & FUELS

International Journal of Renewable Energy Research Pub Date : 2023-01-01 DOI:10.20508/ijrer.v13i3.14096.g8782

引用次数: 1

查看原文本刊更多论文

风电叶片故障诊断的统计最优振动特征选择

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Renewable Energy Research Energy-Energy Engineering and Power Technology

CiteScore

2.80

自引率

10.00%

发文量

期刊介绍： The International Journal of Renewable Energy Research (IJRER) is not a for profit organisation. IJRER is a quarterly published, open source journal and operates an online submission with the peer review system allowing authors to submit articles online and track their progress via its web interface. IJRER seeks to promote and disseminate knowledge of the various topics and technologies of renewable (green) energy resources. The journal aims to present to the international community important results of work in the fields of renewable energy research, development, application or design. The journal also aims to help researchers, scientists, manufacturers, institutions, world agencies, societies, etc. to keep up with new developments in theory and applications and to provide alternative energy solutions to current issues such as the greenhouse effect, sustainable and clean energy issues.