[1] Ma G M, Wang S H, Qin W Q et al. Research and prospect in optical fiber sensing of transmission line operating conditions[J]. High Voltage Engineering, 48, 3032-3047(2022).

[2] Qi Y C, Zhao X B, Geng S F et al. Fittings detection in transmission line images with occlusion relation inference[J]. CAAI Transactions on Intelligent Systems, 17, 1154-1162(2022).

[3] Zhao Z B, Wang R, Zhao W Q et al. Pin-missing bolts recognition method for transmission lines based on graph knowledge reasoning[J]. CAAI Transactions on Intelligent Systems, 18, 372-380(2023).

[4] Yuan L B, Tong W J, Jiang S et al. Road map of fiber optic sensor technology in China[J]. Acta Optica Sinica, 42, 0100001(2022).

[5] Wang M X, Li L, Zhou D M et al. Overview of studies on application of distributed optical fiber sensing technology in online monitoring of transmission lines[J]. Power System Technology, 45, 3591-3600(2021).

[6] Zhang X P, Zhang Y X, Wang L et al. Current status and future of research and applications for distributed fiber optic sensing technology[J]. Acta Optica Sinica, 44, 0106001(2024).

[7] Shang Q F, Huang D. Identification method of optical fiber perimeter intrusion signal based on MATCN[J]. Acta Optica Sinica, 43, 2006006(2023).

[8] Ren J D, Zhang Y F, Zhang B et al. Classification method of industrial internet intrusion detection based on feature selection[J]. Journal of Computer Research and Development, 59, 1148-1159(2022).

[9] Qu H Q, Ji X, Sheng Z Y et al. Recognition and classification method for fiber optical vibration signal using AdaBoost ensemble learning[J]. Laser & Optoelectronics Progress, 59, 1307004(2022).

[10] Wang M, Sha Z, Feng H et al. φ-OTDR pattern recognition based on LSTM-CNN[J]. Acta Optica Sinica, 43, 0506001(2023).

[11] Wu J G, Wen G, Yang K. Improved one-dimensional convolutional neural network for aero-engine fault diagnosis[J]. Journal of Electronic Measurement and Instrumentation, 37, 179-186(2023).

[12] Ruan S S, Mo J Q, Xu L et al. Use AF-CNN for end-to-end fiber vibration signal recognition[J]. IEEE Access, 9, 6713-6720(2021).

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

[14] Yi J C, Shang Y, Wang C et al. An intelligent crash recognition method based on 1DResNet-SVM with distributed vibration sensors[J]. Optics Communications, 536, 129263(2023).

[15] Li Y H, Zeng X P, Shi Y. A spatial and temporal signal fusion based intelligent event recognition method for buried fiber distributed sensing system[J]. Optics & Laser Technology, 166, 109658(2023).

[16] Wu H J, Yang M R, Yang S Q et al. A novel DAS signal recognition method based on spatiotemporal information extraction with 1DCNNs-BiLSTM network[J]. IEEE Access, 8, 119448-119457(2020).

[17] Huang J C, Mo J Q, Zhang J W et al. A fiber vibration signal recognition method based on CNN-CBAM-LSTM[J]. Applied Sciences, 12, 8478(2022).

[18] Li J, Yao R X, Ren M Y et al. Distributed optical fiber vibration signal recognition technology based on gramian angular field[J]. Chinese Journal of Lasers, 51, 0506003(2024).

[19] Zhao X T, Sun H B, Lin B et al. Markov transition fields and deep learning-based event-classification and vibration-frequency measurement for φ-OTDR[J]. IEEE Sensors Journal, 22, 3348-3357(2022).

[20] Sun Z S, Liu K, Xu T H et al. Intelligent sensing analysis using mel-time-frequency-imaging and deep learning for distributed fiber-optic vibration detection[J]. IEEE Sensors Journal, 22, 21933-21941(2022).

[21] Su B Y, Zhang L, He Q X et al. Short-time human activity recognition based on wavelet features matching[J]. Journal of System Simulation, 35, 158-168(2023).

[22] Shao L Y, Liu S Q, Bandyopadhyay S et al. Data-driven distributed optical vibration sensors: a review[J]. IEEE Sensors Journal, 20, 6224-6239(2020).

[23] Ding Z W, Zhang X P, Zou N M et al. Phi-OTDR based on-line monitoring of overhead power transmission line[J]. Journal of Lightwave Technology, 39, 5163-5169(2021).

[24] Yang F, Tang X L, Yin W K et al. Analysis of transmission line wind vibration monitoring based on a multi parameter distributed optical fiber sensor[J]. Power System Protection and Control, 50, 169-177(2022).

[25] Zhang Y, Zhu G Y, Shi T J et al. Small object detection in remote sensing images based on feature fusion and attention[J]. Acta Optica Sinica, 42, 2415001(2022).

[26] Huo D D, Du H S. Cross-modal person re-identification based on channel reorganization and attention mechanism[J]. Laser & Optoelectronics Progress, 60, 1410007(2023).

[27] Zhang Y, Peng T W, Luo R M. Research on matched wavelet deep transfer learning for micro vibration fault diagnosis[J]. Application Research of Computers, 40, 2417-2422(2023).

[28] Kaya Y, Kuncan F, Ertunç H M. A new automatic bearing fault size diagnosis using time-frequency images of CWT and deep transfer learning methods[J]. Turkish Journal of Electrical Engineering and Computer Sciences, 30, 1851-1867(2022).

[29] Zhou Y, Zhao Y, Hao G W et al. Vehicle load identification method based on time frequency analysis of strain signal and convolutional neural network[J]. Journal of Hunan University (Natural Sciences), 49, 21-32(2022).

[30] Lü H, Jiang M F, Li Y et al. Research on arrhythmia classification by using convolutional neural network with mixed time-frequency domain features[J]. Acta Electronica Sinica, 51, 701-711(2023).

[31] Tian M L, Dong H, Cao X M et al. Temporal convolution network with a dual attention mechanism for φ-OTDR event classification[J]. Applied Optics, 61, 5951-5956(2022).