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一个深度学习框架,用于增强来自低采样率FBG审讯器的高频光纤振动传感.

Mentari Putri Jati1,2, Cheng-Kai Yao1, Yen-Chih Wu1

  • 1Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
概括

一个新的深度神经网络 (DNN) 框架克服了纤维布拉格格 (FBG) 传感器的低采样率限制. 这使得从原始信号中精确识别高频振动,进步光学传感和状态监测.

关键词:
深度神经网络是一个神经网络.电动机的振动电机的振动纤维布拉格格子质询器的审讯器纤维传感感应是一种纤维传感器.

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