Acta Optica Sinica, Volume. 43, Issue 3, 0306004(2023)
Temperature Drift Compensation Method for Tunable F-P Filter Based on Improved AdaBoost Algorithm
[1] Alamandala S, Sai Prasad R L N, Pancharathi R K et al. Study on bridge weigh in motion (BWIM) system for measuring the vehicle parameters based on strain measurement using FBG sensors[J]. Optical Fiber Technology, 61, 102440(2021).
[2] Hong C Y, Zhang Y F, Yang Y Y et al. A FBG based displacement transducer for small soil deformation measurement[J]. Sensors and Actuators A, 286, 35-42(2019).
[3] Ma Z, Chen X Y. Strain transfer characteristics of surface-attached FBGs in aircraft wing distributed deformation measurement[J]. Optik, 207, 164468(2020).
[4] Mao G P, Li J Y, Shi Q. Optic fiber Fabry-Perot sensor and its applications in high temperature[J]. Journal of Telemetry, Tracking and Command, 41, 12-19(2020).
[5] Lin Q J, Wu Z R, Zhao N et al. Research on optical fiber F-P temperature sensor and its signal demodulation system used in aero-engine[J]. Journal of Mechanical Engineering, 55, 1-7(2019).
[6] Yao G Z, Yin Y M, Li Y Q et al. Summary of research on high precision fiber grating wavelength demodulation method[J]. Study on Optical Communications, 41-49(2021).
[7] Wu J, Wu H P, Huang J B et al. Research progress in signal demodulation technology of fiber Bragg grating sensors[J]. Chinese Optics, 7, 519-531(2014).
[8] Duan Y N, Wang S, Jiang J F et al. Research progress on demodulation methods of optical fiber Fabry-Perot sensor[J]. Journal of Applied Sciences, 39, 793-808(2021).
[9] Jiang J F, Yan J L, Wang S et al. Suppression of sweeping fluctuation of filter in fiber Bragg grating demodulation under temperature changing environment[J]. Acta Optica Sinica, 36, 1206001(2016).
[10] Lu Y G, Wang Y, Peng J Q et al. Study on F-P filter-based wavelength demodulation method with hysteresis and creep compensation[J]. Journal of Data Acquisition and Processing, 33, 12-21(2018).
[11] Liu K, Liu T G, Jiang J F et al. Nonlinearity investigation of tunable optical filter based on FBG sensing system[J]. Journal of Optoelectronics·Laser, 21, 970-973(2010).
[12] Liang X, Liu T G, Liu K et al. Method of real-time calibration for tunable optical filter nonlinearity[J]. Chinese Journal of Lasers, 37, 1445-1449(2010).
[13] Qiao X G, Wang Y, Fu H W et al. High-accuracy real time calibration of tunable Fabry-Pérot filter on large range[J]. Acta Optica Sinica, 28, 852-855(2008).
[14] Jiang J F, Zang C J, Wang S et al. Investigation of composite multi-wavelength reference stabilization method for FBG demodulator in unsteady temperature environment[J]. Journal of Optoelectronics·Laser, 29, 575-581(2018).
[15] Zhang X Z, Chu Y, Jiang J F et al. The correction of nonlinearity in wavelength scanning based on long-OPD interferometer for fiber Bragg grating demodulation in environment with variable temperature[J]. IEEE Photonics Journal, 12, 7100410(2020).
[16] Wang Y Y, Zhao E C, Yu M et al. High stability FBG demodulation system combining F-P etalon with reference grating[J]. Laser Technology, 42, 336-340(2018).
[17] Jiang J F, He P, Liu T G et al. Research of temperature-stable fiber Bragg grating sensing demodulation based on composite wavelength references[J]. Acta Optica Sinica, 35, 1006005(2015).
[18] Nan J C, Du Y Y, Wang M H et al. Deep learning architecture and neural network optimization of ultra-wideband antenna modeling[J]. Laser&Optoelectronics Progress, 59, 1323001(2022).
[19] Wang H, Zhang Q, Wang Y et al. Improved CART decision tree regression algorithm based on ELM[J]. Computer Systems & Applications, 30, 201-206(2021).
[20] Ji Z Y, Zhang X J, Fu Z et al. Performance-awareness based dynamic batch size SGD for distributed deep learning framework[J]. Journal of Computer Research and Development, 56, 2396-2409(2019).
[21] Sheng W J, Hu Z B, Yang N et al. Demodulation of temperature stabilized fiber Bragg grating sensor based on optimized least square support vector machine[J]. Laser&Optoelectronics Progress, 59, 0305002(2022).
[22] Freund Y, Schapire R E. A decision-theoretic generalization of on-line learning and an application to boosting[J]. Journal of Computer and System Sciences, 55, 119-139(1997).
[23] Drucker H. Improving regressors using boosting techniques[C], 107-115(1997).
[24] Sun J, Fujita H, Chen P et al. Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble[J]. Knowledge-Based Systems, 120, 4-14(2017).
[25] Wang Y F, Li W Y, Zhang Z Q et al. Performance evaluation and prediction for electric vehicle heat pump using machine learning method[J]. Applied Thermal Engineering, 159, 113901(2019).
Get Citation
Copy Citation Text
Wenjuan Sheng, Zhenpu Lai, Ning Yang, Gangding Peng. Temperature Drift Compensation Method for Tunable F-P Filter Based on Improved AdaBoost Algorithm[J]. Acta Optica Sinica, 2023, 43(3): 0306004
Category: Fiber Optics and Optical Communications
Received: Apr. 22, 2022
Accepted: Aug. 29, 2022
Published Online: Feb. 13, 2023
The Author Email: Sheng Wenjuan (wenjuansheng@shiep.edu.cn)