论文信息 - Artificial Intelligent Pattern Recognition for Optical Fiber Distributed Acoustic Sensing Systems Based on Phase-OTDR - 字舞流文

Artificial Intelligent Pattern Recognition for Optical Fiber Distributed Acoustic Sensing Systems Based on Phase-OTDR

In this paper, we present an integrated approach to improve measurement efficacy of fiber optical distributed acoustic sensing (DAS) systems using a combined approach of ultrafast laser manufacturing and neural network pattern recognition.

Zhi-Hong Mao | Kevin P. Chen | Hu Liu | Hongqiao Wen | Zhaoqiang Peng | Jianan Jian | Mohan Wang | Paul Ohodnicki

[1] Xiaoyi Bao,et al. Distributed Vibration Sensor Based on Coherent Detection of Phase-OTDR , 2010, Journal of Lightwave Technology.

[2] Xiaoyi Bao,et al. Wavelet Denoising Method for Improving Detection Performance of Distributed Vibration Sensor , 2012, IEEE Photonics Technology Letters.

[3] Yunjiang Rao,et al. Multi-scale wavelet decomposition and its application in distributed optical fiber fences , 2015, Asia Pacific Optical Sensors Conference.

[4] Qian Sun,et al. Recognition of a Phase-Sensitivity OTDR Sensing System Based on Morphologic Feature Extraction , 2015, Sensors.

[5] Javier Macías Guarasa,et al. A Novel Fiber Optic Based Surveillance System for Prevention of Pipeline Integrity Threats , 2017, Sensors.

[6] J. Juarez,et al. Distributed fiber-optic intrusion sensor system , 2005, Journal of Lightwave Technology.