• Opto-Electronic Engineering
  • Vol. 46, Issue 5, 180493 (2019)
Wu Jun1、2, Guan Luyang2、*, Bao Ming2, Xu Yaohua1, and Ye Wei3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.12086/oee.2019.180493 Cite this Article
    Wu Jun, Guan Luyang, Bao Ming, Xu Yaohua, Ye Wei. Vibration events recognition of optical fiber based on multi-scale 1-D CNN[J]. Opto-Electronic Engineering, 2019, 46(5): 180493 Copy Citation Text show less
    References

    [1] Jiang L H, Gai J Y,WangW B, et al. Ensemble empirical mode decomposition based event classification method for the fi-ber-optic intrusion monitoring system[J]. Acta Optica Sinica, 2015, 35(10): 1006002.

    [2] Zhu C H, Zhao Y, Wang J P, et al. Ensemble recognition of fiber intrusion behavior based on blending features[J]. Op-to-Electronic Engineering, 2016, 43(12): 6–12.

    [3] Kuang Y, Wu H T, Zhang J D, et al. Advances of key technolo-gies on distributed fiber system for multi-parameter sensing[J]. Opto-Electronic Engineering, 2018, 45(9): 170678.

    [4] Zhu H, Pan C, Sun X H. Vibration pattern recognition and classification in OTDR based distributed optical-fiber vibration sensing system[J]. Proceedings of SPIE, 2014, 9062: 906205.

    [5] Zhang Y, Lou S Q, Liang S, et al. Study of pattern recognition based on multi-characteristic parameters for Φ-OTDR distri-buted optical fiber sensing system[J]. Chinese Journal of Las-ers, 2015, 42(11): 1105005.

    [6] Li X Y,Wu H J, Peng Z P, et al. A novel time sequence singular spectrum analysis method for Φ-OTDR disturbance detection system[J]. Acta Photonica Sinica, 2014, 43(4): 0428001.

    [7] 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, 2017, 59(12): 3134–3141.

    [8] Xu C J, Guan J J, Bao M, et al. Pattern recognition based on time-frequency analysis and convolutional neural networks for vibrational events in Φ-OTDR[J]. Optical Engineering, 2018, 57(1): 016103.

    [9] Ince T, Kiranyaz S, Eren L, et al. Real-time motor fault detection by 1-D convolutional neural networks[J]. IEEE Transactions on Industrial Electronics, 2016, 63(11): 7067–7075.

    [10] Kiranyaz S, Ince T, Gabbouj M. Real-time patient-specific ECG classification by 1-D convolutional neural networks[J]. IEEE Transactions on Biomedical Engineering, 2016, 63(3): 664–675.

    [11] Hu G, Wang K J, Peng Y, et al. Deep learning methods for underwater target feature extraction and recognition[J]. Com-putational Intelligence and Neuroscience, 2018, 2018: 1214301.

    [12] Pan Z Q, Liang K Z, Ye Q, et al. Phase-sensitive OTDR system based on digital coherent detection[J]. Proceedings of SPIE, 2011, 8311: 83110S.

    [13] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[OL]. arXiv:1409.1556 [cs.CV].

    [14] Ioffe S, Szegedy C. Batch normalization: accelerating deep network training by reducing internal covariate shift[C]//Proceedings of the 32nd International Conference on International Conference on Machine Learning, Lille, France, 2015: 448–456.

    [15] Hinton G E, Srivastava N, Krizhevsky A, et al. Improving neural networks by preventing co-adaptation of feature detectors[OL]. arXiv:1207.0580 [cs.NE].

    [16] Sutskever I, Martens J, Dahl G, et al. On the importance of initialization and momentum in deep learning[C]//Proceedings of the 30th International Conference on International Confe-rence on Machine Learning, Atlanta, GA, USA, 2013: III-1139–III-1147.

    [17] He K M, Sun J. Convolutional neural networks at constrained time cost[C]//Proceedings of 2015 IEEE conference on com-puter vision and pattern recognition, Boston, MA, USA, 2015: 5353–5360.

    CLP Journals

    [1] Zhang Yongkang, Shang Ying, Wang Chen, Zhao Wen?an, Li Chang, Cao Bing, Wang Chang. Detection and recognition of distributed optical fiber intrusion signal[J]. Opto-Electronic Engineering, 2021, 48(3): 200254

    Wu Jun, Guan Luyang, Bao Ming, Xu Yaohua, Ye Wei. Vibration events recognition of optical fiber based on multi-scale 1-D CNN[J]. Opto-Electronic Engineering, 2019, 46(5): 180493
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