Underwater Natural Gas Pipeline Leakage Detection based on Interferometric Fiber Optic Sensor in Experiment-scale

被引:5
作者
Wang, Qiang [1 ]
Wang, Xiaowei [1 ]
机构
[1] China Jiliang Univ, Sch Qual & Safety Engn, Hangzhou 310018, Zhejiang, Peoples R China
来源
2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年
关键词
Underwater; Gas Pipeline; Leakage Detection; Optic Fiber; Interferometer; SAGNAC INTERFEROMETER; LOCATION;
D O I
10.1109/CCDC.2010.5499075
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A distributed optical fiber sensor of underwater gas transmission pipeline leak detector is demonstrated based on spectrum analysis of hybrid interferometer OTDR system. The feasibility of separately locating underwater pipe leaky source and phase signal demodulation scheme were theoretically analyzed. The system is capable of detecting simulated gas pipeline leakage acoustic signal. In underwater waveguide laboratory, the interferometer was used to localize leaky source. The water flow velocity varies from 2 m/s to 4 m/s. The ambient noise interference produced by flow current was discussed. The wavelet transform was performed to improve null frequency capture ability. The localization scheme is tested by the partial experiment data.
引用
收藏
页码:257 / 260
页数:4
相关论文
共 50 条
[31]   Feature extraction based on variational mode decomposition and support vector machine for natural gas pipeline leakage [J].
Lu, Jingyi ;
Yue, Jikang ;
Jiang, Chunlei ;
Liang, Hongwei ;
Zhu, Lijuan .
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2020, 42 (04) :759-769
[32]   Improved Variational Mode Decomposition in Pipeline Leakage Detection at the Oil Gas Chemical Terminals Based on Distributed Optical Fiber Acoustic Sensing System [J].
Xu, Hongxuan ;
Zuo, Jiancun ;
Wang, Teng .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2025, 13 (03)
[33]   Natural gas pipeline leak detection based on acoustic signal analysis and feature reconstruction [J].
Yao, Lizhong ;
Zhang, Yu ;
He, Tiantian ;
Luo, Haijun .
APPLIED ENERGY, 2023, 352
[34]   Leakage aperture recognition based on ensemble local mean decomposition and sparse representation for classification of natural gas pipeline [J].
Sun, Jiedi ;
Peng, Zhitao ;
Wen, Jiangtao .
MEASUREMENT, 2017, 108 :91-100
[35]   Pipeline leakage localization method based on transient signal detection and data fusion from multi-sensor [J].
Li, Juan ;
Zhang, Zheming .
JOURNAL OF HYDROINFORMATICS, 2024, 26 (09) :2235-2250
[36]   Interferometric Distributed Fiber Optic Vibration Sensor With Branching Sensing Optical Path Based on Time Delay Estimation for Disturbance Localization [J].
Yuan, Zhongzheng ;
Song, Yuchen ;
Jia, Kun ;
Lai, Xin ;
Jia, Bo ;
Xiao, Qian .
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2024, 42 (24) :8889-8899
[37]   Hybrid TDM/WDM based fiber-optic sensor network for perimeter intrusion detection [J].
Li Xiaolei ;
Sun Qizhen ;
Sun Zhifeng ;
Wo Jianghai ;
Zhang Manliang ;
Liu Deming .
21ST INTERNATIONAL CONFERENCE ON OPTICAL FIBER SENSORS, 2011, 7753
[38]   Belt conveyor speed detection based on fiber-optic Sagnac interferometer vibration sensor [J].
Hou, Yaru ;
Niu, Pingjuan ;
Shi, Jia ;
Xie, Yuan ;
Yang, Mengyu .
LASER PHYSICS, 2024, 34 (03)
[39]   System Design of Open-Path Natural Gas Leakage Detection Based on Fresnel Lens [J].
Xia Hui ;
Liu Wen-qing ;
Zhang Yu-jun ;
Kan Rui-feng ;
Cui Yi-ben ;
Wang Min ;
He Ying ;
Cui Xiao-juan ;
Ruan Jun ;
Geng Hui .
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29 (03) :844-847
[40]   Optimized PSOMV-VMD combined with ConvFormer model: A novel gas pipeline leakage detection method based on low sensitivity acoustic signals [J].
Li, Kaiyuan ;
Chen, Wei ;
Zou, Yanyan ;
Wang, Zhigang ;
Zhou, Xianzhong ;
Shi, Jihao .
MEASUREMENT, 2025, 247