[1] WU Weixing. Research on remaining useful life prediction technology of laser diodes[D](2019).

[2] LIU Q, JING Z, LI A et al. Common-path dual-wavelength quadrature phase demodulation of EFPI sensors using a broadly tunable MG-Y laser[J]. Optics Express, 27, 27873-27881(2019).

[3] ZOU Zhengpeng. Research of a cascaded distributed bragg reflector tunable semiconductor laser[D](2019).

[4] YANG Yanfang. High power semiconductor laser research[J]. Electronic Components and Information Technology, 6, 41-43, 51(2022).

[5] ZHAO F, XIAO Y, LU L et al. High-resolution wavelength tuning technique for a widely tunable MG-Y lasers[J]. Measurement Science and Technology, 31, 105203(2020).

[6] SURKAMP N, GERLING A, O'GORMAN J et al. Continuous wave THz system based on dual wavelength monolithic Y-branch laser diode[C], 1-4(2020).

[7] LI A, JING Z, LIU Y et al. Quadrature operating point stabilizing technique for fiber-optic Fabry-Perot sensors using vernier-tuned distributed Bragg reflectors laser[J]. IEEE Sensors Journal, 21, 2084-2091(2020).

[8] MULLER M S, HOFFMANN L, BODENDORFER T et al. Fiber-optic sensor interrogation based on a widely tunable monolithic laser diode[J]. IEEE Transactions on Instrumentation and Measurement, 59, 696-703(2009).

[9] CHEN Q, LIU G, LU Q et al. Optimization algorithm based characterization scheme for tunable semiconductor lasers[J]. Optics Express, 24, 20982-20992(2016).

[10] REN Shuai, ZHUANG Wei, DONG Mingli et al. Quasi-continuous wavelength tuning method of modulated grating Y-branch laser[J]. Acta Photonica Sinica, 51, 0614001(2022).

[11] LIU J, ZHU L, HE W et al. Fiber grating sensing interrogation system based on a modulated grating Y-branch tunable laser for core-and-cladding-integrated fiber Bragg grating temperature measurement[J]. Review of Scientific Instruments, 91, 014904(2020).

[12] LIU Qiang, JING Zhenguo, LI Ang et al. Quasi-continuous tuning characteristics of modulated grating Y-branch lasers[J]. Chinese Journal of Lasers, 47, 263-271(2020).

[13] GAO Wenjie. Research and implementation of fast tunable all-optical wavelength conversion technology based on SOA[D](2021).

[14] ZHENG Shengheng, YANG Yuanhong. High precision and accuracy wavelength tuning characteristics of modulated grating Y-branch tunable lasers[J]. Chinese Journal of Lasers, 46, 9-16(2019).

[15] HE K, ZHAGN, REN S et al. Deep residual learning for image recognition[C], 770-778(2016).

[16] ZHANG Z, ZHANG C, CHEN L et al. LGMA-DRSN: a lightweight convex global multi-attention deep residual shrinkage network for fault diagnosis[J]. Measurement Science and Technology, 34, 115011(2023).

[17] ZHAO M, ZHONG S, FU X et al. Deep residual shrinkage networks for fault diagnosis[J]. IEEE Transactions on Industrial Informatics, 16, 4681-4690(2019).

[18] SALIMY A, MITICHE I, BOREHAM P et al. Dynamic noise reduction with deep residual shrinkage networks for online fault classification[J]. Sensors, 22, 515(2022).

[19] ZHOU Y, YUAN X, CUI X et al. Fault diagnosis based on deep residual shrinkage network and maximum mean discrepancy[C], 2340-2345(2021).