An Improved Negative Pressure Wave Method for Natural Gas Pipeline Leak Location Using FBG Based Strain Sensor and Wavelet Transform

被引:35
|
作者
Hou, Qingmin [1 ]
Ren, Liang [2 ]
Jiao, Wenling [1 ]
Zou, Pinghua [1 ]
Song, Gangbing [2 ,3 ]
机构
[1] Harbin Inst Technol, Sch Municipal & Environm Engn, Harbin 150090, Peoples R China
[2] Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116024, Peoples R China
[3] Univ Houston, Dept Mech Engn, Houston, TX 77004 USA
基金
美国国家科学基金会;
关键词
FIBER; INTERROGATION;
D O I
10.1155/2013/278794
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Methods that more quickly locate leakages in natural gas pipelines are urgently required. In this paper, an improved negative pressure wave method based on FBG based strain sensors and wavelet analysis is proposed. This method takes into account the variation in the negative pressure wave propagation velocity and the gas velocity variation, uses the traditional leak location formula, and employs Compound Simpson and Dichotomy Searching for solving this formula. In addition, a FBG based strain sensor instead of a traditional pressure sensor was developed for detecting the negative pressure wave signal produced by leakage. Unlike traditional sensors, FBG sensors can be installed anywhere along the pipeline, thus leading to high positioning accuracy through more frequent installment of the sensors. Finally, a wavelet transform method was employed to locate the pressure drop points within the FBG signals. Experiment results show good positioning accuracy for natural gas pipeline leakage, using this new method.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Location Of Fault On A Microgrid Using Travelling Wave And Wavelet Transform Method
    Panigrahi, Basanta K.
    Kiran, Abhipsa
    Tripathy, Subrat K.
    Nanda, Riti P.
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND INTERNET OF THINGS (ICGCIOT 2018), 2018, : 139 - 144
  • [22] Hierarchical Leak Detection and Localization Method in Natural Gas Pipeline Monitoring Sensor Networks
    Wan, Jiangwen
    Yu, Yang
    Wu, Yinfeng
    Feng, Renjian
    Yu, Ning
    SENSORS, 2012, 12 (01) : 189 - 214
  • [23] Gas Leak Location Method Based on Annular Ultrasonic Sensor Array
    Wang, Tao
    Wang, Xiaoran
    Wang, Bo
    Fan, Wei
    2018 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC): DISCOVERING NEW HORIZONS IN INSTRUMENTATION AND MEASUREMENT, 2018, : 1883 - 1888
  • [24] Low pressure pipeline leak localization using highly sensitive rubber-based diaphragm FBG pressure sensors and NPW method
    Vorathin, E.
    Choong, M. X.
    Mohammad, M.
    Othman, A. R.
    Ismail, A. R.
    OPTICAL FIBER TECHNOLOGY, 2024, 83
  • [25] Pipeline leak detection and localization based on the flow balance and negative pressure wave methods
    Li, Wei
    Fu, Qing
    Gao, Hang
    AIP ADVANCES, 2024, 14 (11)
  • [26] A novel location algorithm for pipeline leakage based on the attenuation of negative pressure wave
    Li, Juan
    Zheng, Qiang
    Qian, Zhihong
    Yang, Xiaoping
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2019, 123 : 309 - 316
  • [27] Natural gas pipeline weak leakage detection based on negative pressure wave decomposition and feature enhancement
    Ye, Lin
    Wang, Chengyou
    Zhou, Xiao
    Jiang, Baocheng
    Yu, Changsong
    Qin, Zhiliang
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2025, 257
  • [28] Natural gas pipeline leak aperture identification and location based on local mean decomposition analysis
    Sun, Jiedi
    Xiao, Qiyang
    Wen, Jiangtao
    Zhang, Ying
    MEASUREMENT, 2016, 79 : 147 - 157
  • [29] The detecting leaking point of pipeline with wavelet wave analysis-negative pressure wave detecting method
    Jiang Yong-cheng
    Han Hou-ben
    Li Yang
    Tian Xiang-ning
    ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 5584 - 5587
  • [30] Gas pipeline leakage detection and location by using w-FBG array based micro-strain sensing technology
    Gan, Weibing
    Li, Xiaolong
    Wang, Yu
    Wulamu, Ajiaikebaier
    Zhang, Cui
    Chen, Xianfeng
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (05)