[1] [1] H Wu, X Liu, Y Xiao, Y Rao. A dynamic time sequence recognition and knowledge mining method based on the hidden Markov models (HMMs) forpipeline safety monitoring witho-OTDR[J]. Lightwave Technol,2019,37(19):4991-5000.

[2] [2] Howard A, Sandler M, Chu G. Searching for mobilenetv3[C]// Proceedings of the IEEE International Conference on Computer Vision,2019:1314-1324.

[5] [5] G. Tu, X. Zhang, Y. Zhang, et al. The development of ano-OTDR system for quantitative vibration measurement[J]. IEEE PhotonicsTechnol. Lett.2015,27(12):1349-1352.

[7] [7] Khan A A, Vrabie V, Mars J I, et al. A source separation technique for processing of thermometric data from fiber-optic DTS measurements for water leakage identification in dikes[J]. IEEE Sensors Journal,2008,8(7):1118-1129.

[14] [14] Wu H, Chen J, Liu X. One-dimensional CNN-based intelligent recognition of vibrations in pipeline monitoring with DAS[J].Journal of Lightwave Technology,2019,37(17):4359-4366.

[15] [15] H Wu, X Liu, Y Xiao, et al. A dynamic time sequence recognition and knowledge mining method based on the hidden Markov models (HMMs) forpipeline safety monitoring with-OTDR[J]. Lightwave Technol,2019,37 (19):4991-5000.