Underground Pipeline Leak Detection Using Acoustic Emission and Crest Factor Technique

被引:11
|
作者
Lim, Jirapong [1 ]
机构
[1] King Mongkuts Univ Technol, Dept Prod Engn, North Bangkok, Thailand
来源
关键词
D O I
10.1007/978-1-4939-1239-1_41
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Acoustic emission (AE) technique incorporated with uncomplicated signal processing scheme has been demonstrated for underground water pipeline leakage evaluation in petrochemical industries. This technique employed two units of wide-band acoustic emission sensors that were mounted on both ends of the pipe. Various hydrostatic pressures starting from 0 to 16 bars were applied to the pipe and AE signals from both sensors were captured by a personal computer (PC) via acoustic emission system. The crest factor and AE energy are used to evaluate pipe leakage. Four sections of 20-year-old underground water pipeline in petrochemical plant were tested in the experiment. The test results presented that the proposed signal-analyzing technique, the AE energy and crest factor, can be used to evaluate a leakage pipeline sections from totally four at difference areas in the plant. The test results have been proven by visual inspection when the pipeline has been excavated. Therefore, the advantage of using this technique is that underground pipeline to be excavated for maintenance purpose can be prioritized.
引用
收藏
页码:445 / 450
页数:6
相关论文
共 50 条
  • [31] ACOUSTIC-EMISSION LEAK DETECTION AND ANALYSIS
    FINLEY, RW
    [J]. MATERIALS EVALUATION, 1982, 40 (10) : 28 - 28
  • [32] Leak Detection and Position Method for Pressure Piping Using Acoustic Emission
    Sun, Liying
    Li, Yibo
    Liu, Tiegen
    Jin, Shijiu
    Weikui, Wang
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 8425 - 8429
  • [33] Improvement of reliability assessment of gas pipeline using Acoustic Emission technique
    Giunta, Giuseppe
    Budano, Sergio
    Lucci, Antonio
    Piancaldini, Roberto
    Prandi, Luca
    [J]. PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE - 2013, VOL 5, 2014,
  • [34] Leak Detection System for Long-Distance Onshore and Offshore Gas Pipeline Using Acoustic Emission Technology. A Review
    Lukonge, Anselemi B.
    Cao, Xuewen
    [J]. TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS, 2020, 73 (07) : 1715 - 1727
  • [35] Artificial intelligence-based machine learning considering flow and temperature of the pipeline for leak early detection using acoustic emission
    Ahn, Byunghyun
    Kim, Jeongmin
    Choi, Byeongkeun
    [J]. ENGINEERING FRACTURE MECHANICS, 2019, 210 : 381 - 392
  • [36] Leak Detection System for Long-Distance Onshore and Offshore Gas Pipeline Using Acoustic Emission Technology. A Review
    Anselemi B. Lukonge
    Xuewen Cao
    [J]. Transactions of the Indian Institute of Metals, 2020, 73 : 1715 - 1727
  • [37] Pipeline Leak Detection System for a Smart City: Leveraging Acoustic Emission Sensing and Sequential Deep Learning
    Ullah, Niamat
    Siddique, Muhammad Farooq
    Ullah, Saif
    Ahmad, Zahoor
    Kim, Jong-Myon
    [J]. SMART CITIES, 2024, 7 (04): : 2318 - 2338
  • [38] Fluid Pipeline Leak Localization Relying on Acoustic Emission Signal Analysis
    Quy, Thang Bui
    Kim, Jong-Myon
    [J]. Lecture Notes in Networks and Systems, 2023, 752 LNNS : 19 - 26
  • [39] Bearing fault detection using Acoustic Emission Technique
    Karimi, Hamid
    [J]. 8TH INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND MACHINERY FAILURE PREVENTION TECHNOLOGIES 2011, VOLS 1 AND 2, 2011, : 1355 - 1366
  • [40] Nondestructive Detection of Valves Using Acoustic Emission Technique
    Yan, Jin
    Heng-hu, Yang
    Hong, Yang
    Feng, Zhang
    Zhen, Liu
    Ping, Wang
    Yan, Yang
    [J]. ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2015, 2015