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Updated: May 29, 2025

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基于声信号的风力轮机叶片损坏检测

Chenchen Yang1,2, Shaohu Ding3,4, Guangsheng Zhou1,2

  • 1College of Electrical and Information Engineering, North MinZu University, Yinchuan, 750021, China.

Scientific reports
|January 31, 2025
PubMed
概括

这项研究使用了一种新的声源分离模型与光谱减法相结合,以改善风力轮机叶片结构健康监测. 先进的无声化有效地识别了操作声音中的损坏引起的异常.

关键词:
损坏检测 检测损坏检测 损坏检测深度残留网络深度残留网络声音信号的声音信号.风力轮机叶片的使用方法

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