Liang Wang, Hao Wu, Ming Tang, Deming Liu. Research Status of Brillouin Signal Analysis Method Based on Machine Learning[J]. Laser & Optoelectronics Progress, 2021, 58(13): 1306010
- Laser & Optoelectronics Progress
- Vol. 58, Issue 13, 1306010 (2021)
Fig. 1. Change curves of BGS and LCF
![Schematic of ANN[30]](/richHtml/lop/2021/58/13/1306010/img_2.jpg)
Fig. 2. Schematic of ANN[30]
![Fiber temperature distribution diagram extracted by ANN under different frequency sweep intervals, where temperature of fiber at 41 m of tail is (a) 21.00 ℃ (room temperature), (b) 29.90 ℃, (c) 39.14 ℃, and (d) 48.63 ℃[30]](/Images/icon/loading.gif){kind=icon}
Fig. 3. Fiber temperature distribution diagram extracted by ANN under different frequency sweep intervals, where temperature of fiber at 41 m of tail is (a) 21.00 ℃ (room temperature), (b) 29.90 ℃, (c) 39.14 ℃, and (d) 48.63 ℃[30]
Fig. 4. Ratio of time spent in processing BGS data between LCF and ANN[30]
Fig. 5. Schematic of SVM extraction temperature[32]
Fig. 6. Measured BGS distribution and temperature distribution extracted by SVM-0.5 °C[32]
Fig. 7. Uncertainty and RMSE comparison curves under different SNR[32]. (a1) (a2) 11.5 dB; (b1) (b2) 6.1 dB
Fig. 8. Structure and extraction principle of DNN[35]. (a) DNN structure; (b) schematic of extracting temperature and stress at the same time by DNN
Fig. 9. Experimental device of LEAF and comparison curves of extraction results of different methods[35]. (a) Experimental device; (b) comparison curves of temperature and stress under DNN and equation solving method
Fig. 10. BGS signal processing flow based on K-SVD algorithm [37]
Fig. 11. Temperature error curves of K-SVD algorithm and LCF algorithm[37]
Fig. 12. ELM training and testing process[38]
Fig. 13. CNN structure for extracting BFS [40]
Fig. 14. Comparison of BFS results after CNN and LCF algorithm processing[40]
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Table 1. Time comparison of different methods for processing 1×105 BGS[32]
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