Standing wave difference method for leak detection in pipeline systems

被引:147
|
作者
Covas, D [1 ]
Ramos, H [1 ]
de Almeida, AB [1 ]
机构
[1] Univ Tecn Lisboa, Dept Civil Engn, Inst Super Tecn, P-1049001 Lisbon, Portugal
来源
JOURNAL OF HYDRAULIC ENGINEERING-ASCE | 2005年 / 131卷 / 12期
关键词
D O I
10.1061/(ASCE)0733-9429(2005)131:12(1106)
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The current paper focuses on leakage detection in pipe systems by means of the standing wave difference method (SWDM) used for cable fault location in electrical engineering. This method is based on the generation of a steady-oscillatory flow in it pipe system, by the sinusoidal maneuver of a valve, and the analysis of the frequency response of the system for a certain range of oscillatory frequencies. The SWDM is applied to several configurations of pipe systems with different leak locations and sizes, A leak creates a resonance effect in the pressure signal with a secondary superimposed standing wave. The pressure measurement and the spectral analysis of the maximum pressure amplitude at the excitation site enable the identification of the leak frequencies and, consequently. the estimation of the leak approximate location. Practical difficulties of implementation of this technique in real life systems are discussed.
引用
收藏
页码:1106 / 1116
页数:11
相关论文
共 50 条
  • [21] QUICK PIPELINE LEAK DETECTION
    KREISS, M
    [J]. ERDOL UND KOHLE ERDGAS PETROCHEMIE VEREINIGT MIT BRENNSTOFF-CHEMIE, 1972, 25 (07): : 402 - &
  • [22] Energy Analysis for Transient-Leak Interaction and Implication to Leak Detection in Water Pipeline Systems
    Pan, Bin
    Keramat, Alireza
    Duan, Huan-Feng
    [J]. JOURNAL OF HYDRAULIC ENGINEERING, 2023, 149 (09)
  • [23] Accuracy and Sensitivity Evaluation of TFR Method for Leak Detection in Multiple-Pipeline Water Supply Systems
    Duan, Huan-Feng
    [J]. WATER RESOURCES MANAGEMENT, 2018, 32 (06) : 2147 - 2164
  • [24] A Reliable Pipeline Leak Detection Method Using Acoustic Emission with Time Difference of Arrival and Kolmogorov-Smirnov Test
    Nguyen, Duc-Thuan
    Nguyen, Tuan-Khai
    Ahmad, Zahoor
    Kim, Jong-Myon
    [J]. SENSORS, 2023, 23 (23)
  • [25] Accuracy and Sensitivity Evaluation of TFR Method for Leak Detection in Multiple-Pipeline Water Supply Systems
    Huan-Feng Duan
    [J]. Water Resources Management, 2018, 32 : 2147 - 2164
  • [26] ARTIFICIAL NEURAL NETWORKS ENSEMBLE USED FOR PIPELINE LEAK DETECTION SYSTEMS
    Ferraz, Inhauma N.
    Garcia, Ana C. B.
    [J]. IPC2008: PROCEEDINGS OF THE ASME INTERNATIONAL PIPELINE CONFERENCE - 2008, VOL 1, 2009, : 739 - 747
  • [27] Leak Detection Modeling and Simulation for Oil Pipeline with Artificial Intelligence Method
    Sukarno, Pudjo
    Sidarto, Kuntjoro Adji
    Trisnobudi, Amoranto
    Setyoadi, Delint Ira
    Rohani, Nancy
    Darmadi
    [J]. JOURNAL OF ENGINEERING AND TECHNOLOGICAL SCIENCES, 2007, 39 (01): : 1 - 19
  • [28] Algorithm of pipeline leak detection based on discrete incremental clustering method
    Feng, Jian
    Zhang, Huaguang
    [J]. COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS, 2006, 4114 : 602 - 607
  • [29] Simple Graphical Method for Detection of a Partial Blockage or Leak in a Single Pipeline
    Kumar, Prabhat
    Mohapatra, P. K.
    [J]. JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME, 2021, 143 (05):
  • [30] The CMEKF method for sub-sea pipeline monitoring and leak detection
    Bai, L
    Yue, QJ
    Cui, L
    Li, HS
    Jin, ZY
    Wang, QG
    [J]. CHINA OCEAN ENGINEERING, 2004, 18 (04) : 527 - 535