[1] Culshaw B, Kersey A. Fiber-optic sensing: a historical perspective[J]. Journal of Lightwave Technology, 26, 1064-1078(2008).
[2] Barrias A, Casas J R, Villalba S. A review of distributed optical fiber sensors for civil engineering applications[J]. Sensors, 16, 748(2016).
[3] Li Y, Liu T G, Wang S J et al. All fiber distributed long-distance perimeter security monitoring system with video linkage function[J]. Journal of Optoelectronics·Laser, 24, 1752-1757(2013).
[4] Wang J. Research on two-dimensional denoising method of distributed optical fiber sensing vibration signal[D](2021).
[5] Lü C G, Huo Z Q, Cheng X et al. Distributed optical fiber sensing intrusion pattern recognition based on GAF and CNN[J]. Journal of Lightwave Technology, 38, 4174-4182(2020).
[6] Wu H, Kong Y, Wang Z W et al. Recognition of optical fiber vibration signals based on VMDCNN algorithm[J]. Laser & Infrared, 51, 1043-1049(2021).
[7] Yang Z, Feng H. Oil pipeline intrusion monitoring based on deep learning of Φ-OTDR[J]. Laser & Optoelectronics Progress, 59, 0806001(2022).
[8] Zhao M H, Zhong S S, Fu X Y et al. Deep residual shrinkage networks for fault diagnosis[J]. IEEE Transactions on Industrial Informatics, 16, 4681-4690(2020).
[9] Zhang W Q, Song G X. Signal de-noising in wavelet domain based on a new kind of thresholding function[J]. Journal of Xidian University, 31, 296-299, 303(2004).
[10] Zhang W Q. Research on application of wavelet and neural network in analog circuit fault diagnosis[D](2006).
[11] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).
[12] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C], 7132-7141(2018).
[13] Liang H K, Xie H S, Huang H B et al. Distributed optical fiber sensing signal recognition based on deep residual shrinkage network[C], 882-886(2023).