Submarine Cable Vibration Signal Identification Method Based on VMD-BSA-SVM

Qiufeng Shang; Jiaxing Guo

doi:10.3788/LOP202259.1701001

[1] Zhang X P, Chen X H, Liang L et al. Enhanced C-OTDR-based online monitoring scheme for long-distance submarine cables[J]. Acta Optica Sinica, 41, 1306001(2021).

[2] Shang Q F, Gong B, Zheng G Q. Analysis of vibration characteristics of optical fiber composite submarine cable under anchoring[J]. Study on Optical Communications, 45-49, 56(2021).

[3] Liu X H. Finite element analysis of optical fiber composite cable submarine’s torsion and wear characteristics[D](2017).

[4] Feng Y S, Shang Q F, Lü A Q. Dynamic finite element analysis of fiber-optic composite submarine cable under wave[J]. Study on Optical Communications, 30-34(2017).

[5] Xia M, Tang X H, Wang Y et al. Comparative analysis of strain monitoring of the installed optical fiber composite overhead ground wire using BOTDA/R[J]. Acta Optica Sinica, 40, 1506001(2020).

[6] Liu J Y, Wang T, Zhang Q et al. Research progress on temperature-strain dual-parameter sensing in BOTDA system[J]. Laser & Optoelectronics Progress, 58, 1306021(2021).

[7] Rao Y J, Wu M, Ran Z L et al. A fiber-optic intrusion alarm system based on quasi-distributed FBG sensors[J]. Chinese Journal of Sensors and Actuators, 20, 998-1002(2007).

[8] Zhu C H, Zhu R, Wang J P et al. Intrusion signal recognition of optical fiber security & protection system based on adaptive EMD[J]. Transducer and Microsystem Technologies, 39, 26-30(2020).

[9] Fan W J, Mao W X, Wu J. Combined denoising method of vehicle acceleration signal based on EMD and IIR filtering[J]. Journal of Vibration and Shock, 40, 307-312(2021).

[10] Xu C J, Guan J J, Bao M et al. Pattern recognition based on enhanced multifeature parameters for vibration events in φ‍-OTDR distributed optical fiber sensing system[J]. Microwave and Optical Technology Letters, 59, 3134-3141(2017).

[11] Ma P F, Liu K, Jiang J F et al. Probabilistic event discrimination algorithm for fiber optic perimeter security systems[J]. Journal of Lightwave Technology, 36, 2069-2075(2018).

[12] Li Z C, Liu K, Jiang J F et al. A high-accuracy event discrimination method in optical fiber perimeter security system[J]. Infrared and Laser Engineering, 47, 0922002(2018).

[13] Xu K, Chen Z H, Zhang C B et al. Rolling bearing fault diagnosis based on empirical mode decomposition and support vector machine[J]. Control Theory & Applications, 36, 915-922(2019).

[14] Zhou J M, Wang F L, Zhang C C et al. An intelligent method for rolling bearing evaluation using feature optimization and GA-SVM[J]. Journal of Vibration and Shock, 40, 227-234(2021).

[15] Xiao H J, Lu C J, He F. Parameter optimization of support vector machine based on bird swarm algorithm[J]. Journal of South-Central University for Nationalities (Natural Science Edition), 36, 90-94(2017).

[16] Liang Y, Liu T G, Liu K et al. Optimized gas detection method based on variational mode-decomposition algorithm[J]. Chinese Journal of Lasers, 48, 0706003(2021).

[17] Wang J C, Gao Y L. An improved bird swarm optimization algorithm[J]. Journal of Research in Science and Engineering, 1, 27(2019).

[18] Niu M D, Ma S J, Cai W et al. Fault diagnosis of planetary roller screw mechanism based on bird swarm algorithm and support vector machine[J]. Journal of Physics: Conference Series, 1519, 012007(2020).