A SVM-based pipeline leakage detection and pre-warning system

被引:135
|
作者
Qu, Zhigang [1 ]
Feng, Hao [1 ]
Zeng, Zhoumo [1 ]
Zhuge, Jingchang [1 ]
Jin, Shijiu [1 ]
机构
[1] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金;
关键词
Pipeline leakage; Pre-warning; Distributed optical fiber; Support vector machine; Wavelet packet;
D O I
10.1016/j.measurement.2009.12.022
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A SVM-based pipeline leakage detection and pre-warning system is presented in this paper. In the system an optical cable is laid in parallel with a pipeline in the same ditch and three single mode optical fibers inside constitute the distributed vibration sensor. The sensor is based on Mach-Zehnder optical fiber interferometer and can detect the vibration signals along a pipeline in real time. Then the eigenvectors of vibration signals are extracted by "energy-pattern" method based on wavelet packet decomposition. Subsequently the vibration signals are recognized by support vector machine (SVM) through the features so that it can judge whether any abnormal event is taking place. If any abnormal event is found along a pipeline, the location is thus calculated. A series of trials in situ have been done, showing that the system is of good accuracy and real time performance both in recognition and locating. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:513 / 519
页数:7
相关论文
共 50 条
  • [1] SVM-based Oil Security Pre-warning
    Sun Yong-bo
    Zhang Hua
    Lu Yong-heng
    [J]. WMSO: 2008 INTERNATIONAL WORKSHOP ON MODELLING, SIMULATION AND OPTIMIZATION, PROCEEDINGS, 2009, : 55 - +
  • [2] An Oil & Gas Pipeline Pre-warning System Based on &UPHI;-OTDR
    Tan, Dongjie
    Tian, Xiaozhong
    Sun, Wei
    Zhou, Yan
    Liu, Lu
    Ma, Yunbing
    Meng, Jia
    Zhang, Hong
    [J]. 23RD INTERNATIONAL CONFERENCE ON OPTICAL FIBRE SENSORS, 2014, 9157
  • [3] PIPELINE ACOUSTIC PRE-WARNING SYSTEM AND METHOD OF SIGNAL ANALYSIS
    Cai, Yongjun
    Chen, Pengchao
    Tan, Dongjie
    Sun, Yi
    Ai, Muyang
    Lin, Song
    [J]. IPC2008: PROCEEDINGS OF THE ASME INTERNATIONAL PIPELINE CONFERENCE - 2008, VOL 1, 2009, : 579 - 585
  • [4] Study on the pre-warning system of public opinion based on PCA and PSO-SVM
    Hao, Xiaohong
    Gu, Kaicheng
    Meng, Boyu
    [J]. PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING, MANUFACTURING TECHNOLOGY AND CONTROL, 2016, 67 : 661 - 664
  • [5] Optical fiber pipeline security pre-warning system based on coherent rayleigh scattering
    An, Yang
    Jin, Shijiu
    Feng, Xin
    Feng, Hao
    Zeng, Zhoumo
    [J]. Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2015, 48 (01): : 70 - 75
  • [6] The Application Of Wavelet Transform In The Fiber Pipeline Safety Pre-warning System
    Wang, Guanglei
    Liu, Xiaoli
    Li, Yang
    [J]. 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 3605 - 3608
  • [7] Svm-based damage detection technique using smart valves in a pipeline system
    Park, Jin-Woo
    Kim, Won
    Jung, Byung Chang
    Moon, Seok-Jun
    Yang, Seok-Jo
    [J]. Transactions of the Korean Society of Mechanical Engineers, A, 2021, 45 (11) : 1019 - 1028
  • [8] Community Intrusion Detection and Pre-warning System Based on Wireless Mesh Network
    Gao, Meijuan
    Tian, Jingwen
    Li, Kai
    Wu, Hao
    [J]. 2008 IEEE CONFERENCE ON ROBOTICS, AUTOMATION, AND MECHATRONICS, VOLS 1 AND 2, 2008, : 851 - +
  • [9] Target location method for pipeline pre-warning system based on HHT and time difference of arrival
    Sun, Jiedi
    Wen, Jiangtao
    [J]. MEASUREMENT, 2013, 46 (08) : 2716 - 2725
  • [10] Vibration detection method for optical fibre pre-warning system
    Qu Hongquan
    Zheng Tong
    Bi Fukun
    Pang Liping
    [J]. IET SIGNAL PROCESSING, 2016, 10 (06) : 692 - 698