[1] X Y BAO, L CHEN. Recent progress in distributed fiber optic sensors. Sensors, 12, 8601-8639(2012).

[2] G YANG, X FAN, S WANG et al. Long-range distributed vibration sensing based on phase extraction from phase-sensitive OTDR. IEEE Photonics Journal, 8, 1-12(2016).

[3] G TU, B YU, S ZHEN et al. Enhancement of signal identification and extraction in a φ-OTDR vibration sensor. IEEE Photonics Journal, 9, 1-10(2017).

[4] F ZHU, Y ZHANG, L XIA et al. Improved φ-OTDR sensing system for high-precision dynamic strain measurement based on ultra-weak fiber Bragg grating array. Journal of Lightwave Technology, 33, 4775-4780(2015).

[5] X MEI, F PANG, H LIU et al. Fast coarse-fine locating method for φ-OTDR. Optics Express, 26, 2659-2663(2018).

[6] Minhan LIU, Xu WANG, Miao YU et al. Clock homologus I/Q demodulation in phase sensitive optical time-domain reflection system. Acta Photonica Sinica, 47, 0806003(2018).

[7] H YUE, Z BO, Y WU et al. Simultaneous and signal-to-noise ratio enhancement extraction of vibration location and frequency information in phase-sensitive optical time domain reflectometry distributed sensing system. Optical Engineering, 54, 047101(2015).

[8] F PENG, N DUAN, Y J RAO et al. Real-time position and speed monitoring of trains using phase-sensitive OTDR. Photonics Technology Letters, IEEE, 26, 2055-2057(2014).

[9] H LIU, J MA, W YAN et al. Traffic flow detection using distributed fiber optic acoustic sensing. IEEE Access, 6, 68968-68980(2018).

[10] H LIU, J MA, T XU et al. Vehicle detection and classification using distributed fiber optic acoustic sensing. IEEE Transactions on Vehicular Technology, 69, 1364-1374(2020).

[11] S VILLAMIZAR DELGADO, J M RAMIREZ CORTES, A D STEFANO et al. Hybrid methodologies for modal parameters extraction for structural health monitoring(2016).

[12] M AKTAS, T AKGUN, M U DEMIRCIN et al. Deep learning based multi-threat classication for phase-OTDR fiber optic distributed acoustic sensing applications(2017).

[13] C J XU, J J GUAN, M BAO et al. Pattern recognition based on time-frequency analysis and convolutional neural networks for vibrational events in φ-OTDR. Optical Engineering, 57, 0161031-0161037(2018).

[14] Jun WU, Luyang GUANG, Ming BAO et al. Vibration events recognition of optical fiber based on multi-scale 1-D CNN. Opto-Electronic Engineering, 46, 76-83(2019).

[15] Z Y WANG, H R ZHENG, L C LI et al. Practical multi-class event classification approach for distributed vibration sensing using deep dual path network. Optics Express, 27, 23682-23692(2019).

[16] S A ABUFANA, Y DALVEREN, A AGHNAIYA et al. Variational mode decomposition-based threat classification for fiber optic distributed acoustic sensing. IEEE Access, 100152-100158(2020).

[17] Z SHA, H FENG, X B RUI et al. PIG tracking utilizing fiber optic distributed vibration sensor and YOLO. Journal of Lightwave Technology, 39, 4535-4541(2021).

[18] Yihe ZHOU, Xiuheng ZHANG, Hang WANG et al. Research on gas value fault diagnosis based on wavelet packet decomposition and SVM. Electro-Optic Technology Application, 34, 48-52(2019).

[19] Feng CHEN, Yixin JIANG, Yujing LOU et al. Partial discharge classification method baesd on wavelet packet decomposition and support vector machines. Shandong Electric Power, 47, 5-9(2020).

[20] Z N WANG, L ZHANG, S WANG et al. Coherent φ-OTDR based on I/Q demodulation and homodyne detection. Optics Express, 24, 853-858(2016).

[21] Xin LUO, Haiqing NIU, Riliang HU et al. Feature extraction and pattern recognition of partial discharge of XLPE distribution cable based on wavelet packet decomposition. High Voltage Apparatus, 49, 110-116, 122(2013).

[22] Xuan LIU, Jun LI, Bo SHI et al. Leakage bag detection technology of bag filter based on phase-sensitive optical time domain reflectometry. Acta Photonica Sinica, 48, 0806002(2019).

[23] C CORTRES, V VAPINK. Support vector networks. Machine Learning, 20, 273-297(1995).