Efficient On-Demand Design of Fiber Optic Vibration Sensor With a Symmetric Bidirectional Neural Network
Author:
Affiliation:
1. State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan, China
2. Department of Physics and Astronomy, Purdue University, West Lafayette, IN, USA
Funder
National Natural Science Foundation of China
Fundamental Research Program of Shanxi Province
Shanxi “1331 Project” Key Subject Construction
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7361/10516472/10476326.pdf?arnumber=10476326
Reference50 articles.
1. Multi‐Parameter Optimized Triboelectric Nanogenerator Based Self‐Powered Sensor Network for Broadband Aeolian Vibration Online‐Monitoring of Transmission Lines
2. Vibration-Driven Triboelectric Nanogenerator for Vibration Attenuation and Condition Monitoring for Transmission Lines
3. Real-time monitoring for vibration quality of fresh concrete using convolutional neural networks and IoT technology
4. A self-powered bridge health monitoring system driven by elastic origami triboelectric nanogenerator
5. A Smartphone-Enabled IoT System for Vibration and Noise Monitoring of Rail Transit
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