Temperature Shift Compensation of Fiber Fabry-Perot Tunable Filter Based on Time Weight

Wenjuan Sheng; Chuning Zhong; Gangding Peng

doi:10.3788/AOS230852

Acta Optica Sinica, Volume. 43, Issue 21, 2105001(2023)

Temperature Shift Compensation of Fiber Fabry-Perot Tunable Filter Based on Time Weight

Wenjuan Sheng^1、*, Chuning Zhong¹, and Gangding Peng²

Author Affiliations

¹School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China

²School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney 2052, New South Wales, Australia

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Figures & Tables(11)

Fig. 1. Principle of FBG sensor measurement system

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Fig. 2. Temperature measurement and temperature drift of FBG. (a) Filter surface temperature; (b) absolute wavelength drift of three sensing FBGs

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Fig. 3. Fluctuation compensation results of AdaBoost-SVM and ADASVM-TW algorithms. (a) FBG1; (b) FBG2; (c) FBG3

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Fig. 4. Wavelength compensation results of different algorithms

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Fig. 5. Surface temperature variation curve of FFP filter with time during natural cooling

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Fig. 6. Compensation results of AdaBoost-SVM and ADASVM-TW in free cooling process. (a) FBG1; (b) FBG2; (c) FBG3

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Table 1. Characteristic wavelengths of FBGs
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Table 1. Characteristic wavelengths of FBGs
FBG FBG0 FBG1 FBG2 FBG3
Wavelength /nm 1528.8393 1541.0624 1557.3460 1562.1832

Table 2. Test results of concept drift of FBGs time series

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Table 2. Test results of concept drift of FBGs time series

t-step	FBG1		FBG2		FBG3
t-step	RMSE /pm	MAXE /pm	RMSE /pm	MAXE /pm	RMSE /pm	MAXE /pm
1-step	0.9664	2.5707	1.9289	4.6519	1.8354	4.5466
2-step	1.1144	2.9115	2.1219	4.7504	2.1343	5.3278
3-step	1.0674	2.9890	2.0989	5.7565	4.9822	8.6183
4-step	1.6054	3.5084	3.6061	6.2270	7.4022	10.5450
5-step	2.6172	4.6429	7.4097	11.3530	11.9290	15.4990
6-step	4.5011	6.5386	13.2778	17.3740	18.6444	23.5589

Table 3. Comparison of evaluation indicators between ADASVM-TW and AdaBoost-SVM algorithms
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Table 3. Comparison of evaluation indicators between ADASVM-TW and AdaBoost-SVM algorithms
Algorithm FBG1 FBG2 FBG3
RMSE /pm MAXE /pm RMSE /pm MAXE /pm RMSE /pm MAXE /pm
AdaBoost-SVM 10.8323 4.9813 12.4960 5.3769 16.5912 8.1543
ADASVM-TW 7.0440 3.1095 8.0044 3.1754 11.9526 5.3268

Table 4. Statistics results of different algorithms
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Table 4. Statistics results of different algorithms
Algorithm SVM CART RF AdaBoost-SVM ADASVM-TW
MAXE /pm 13.1319 15.0111 18.4135 10.8323 7.0440
RMSE /pm 6.3051 6.0421 11.2719 4.9813 3.1095

Table 5. Comparison of evaluation indicators between ADASVM-TW and AdaBoost-SVM algorithms
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Table 5. Comparison of evaluation indicators between ADASVM-TW and AdaBoost-SVM algorithms
Algorithm FBG1 FBG2 FBG3
RMSE /pm MAXE /pm RMSE /pm MAXE /pm RMSE /pm MAXE /pm
AdaBoost-SVM 3.3348 2.2113 9.5044 7.6992 11.5708 9.5624
ADASVM-TW 0.4302 0.3104 3.0519 1.9156 4.0576 5.9784

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Wenjuan Sheng, Chuning Zhong, Gangding Peng. Temperature Shift Compensation of Fiber Fabry-Perot Tunable Filter Based on Time Weight[J]. Acta Optica Sinica, 2023, 43(21): 2105001

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