A Deep Learning Framework for Enhancing High-Frequency Optical Fiber Vibration Sensing from Low-Sampling-Rate FBG Interrogators

A Deep Learning Framework for Enhancing High-Frequency Optical Fiber Vibration Sensing from Low-Sampling-Rate FBG Interrogators

This study introduces a novel deep neural network (DNN) framework tailored to breaking the sampling limit for high-frequency vibration recognition using fiber Bragg grating (FBG) sensors in conjunction with low-power, low-sampling-rate FBG interrogators. These interrogators, while energy-efficient,...

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Bibliographic Details
Main Authors: Mentari Putri Jati, Cheng-Kai Yao, Yen-Chih Wu, Muhammad Irfan Luthfi, Sung-Ho Yang, Amare Mulatie Dehnaw, Peng-Chun Peng
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
electric motor vibration
fiber sensing
fiber Bragg grating interrogator
deep neural networks
Online Access:https://www.mdpi.com/1424-8220/25/13/4047
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