Multi-Event Location Denoising Scheme for φ-OTDR Based on FFDNet Network
Abstract
:1. Introduction
2. Sensing Principles and FFDNet Network Structure
2.1. Sensing Principle of the φ-OTDR System
2.2. Network Architecture of FFDNet
3. FFDNet-Based Denoising Method
3.1. Vibration Data Preprocessing
3.2. FFDNet Image Denoising Process
4. Experimental Results and Analysis
4.1. Experimental Setup and Parameter Initialization
4.2. Comparison and Analy{Citation}sis of Experimental Results
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Hyperparameters | Initial Value |
---|---|
Weight Initialization | 1 |
Bias Initialization | 0 |
Learning Rate | 0.001 (0.1× decrease for every 30 epoch) |
Epoch | 80 |
Batch size | 128 |
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Yang, X.; Li, S.; Xu, Y.; Liu, Z.; Qin, Z. Multi-Event Location Denoising Scheme for φ-OTDR Based on FFDNet Network. Photonics 2023, 10, 1114. https://doi.org/10.3390/photonics10101114
Yang X, Li S, Xu Y, Liu Z, Qin Z. Multi-Event Location Denoising Scheme for φ-OTDR Based on FFDNet Network. Photonics. 2023; 10(10):1114. https://doi.org/10.3390/photonics10101114
Chicago/Turabian StyleYang, Xiyu, Shuai Li, Yanping Xu, Zhaojun Liu, and Zengguang Qin. 2023. "Multi-Event Location Denoising Scheme for φ-OTDR Based on FFDNet Network" Photonics 10, no. 10: 1114. https://doi.org/10.3390/photonics10101114