Machine learning and acoustic method applied to leak detection and location in low-pressure gas pipelines

被引：0
|
作者：
Rodolfo Pinheiro da Cruz
Flávio Vasconcelos da Silva
Ana Maria Frattini Fileti
机构：
[1] University of Campinas (UNICAMP),Chemical Engineering Faculty
来源：
Clean Technologies and Environmental Policy | 2020年 / 22卷
关键词：
Leak detection; Leak location; Low-pressure pipeline; Machine learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：627 / 638
页数：11
相关论文
共 50 条
  • [1] Machine learning and acoustic method applied to leak detection and location in low-pressure gas pipelines
    da Cruz, Rodolfo Pinheiro
    da Silva, Flavio Vasconcelos
    Fileti, Ana Maria Frattini
    CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2020, 22 (03) : 627 - 638
  • [2] Leak Detection and Location for Gas Pipelines U sing Acoustic Emission Sensors
    Li, Shuaiyong
    Wen, Yumei
    Li, Ping
    Yang, Jin
    Yang, Lili
    2012 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2012, : 957 - 960
  • [3] Evaluation of acoustic techniques for leak detection in a complex low-pressure gas pipeline network
    Xiao, Rui
    Li, Jie
    ENGINEERING FAILURE ANALYSIS, 2023, 143
  • [4] Intelligent leak detection method for low-pressure gas pipeline inside buildings based on pressure fluctuation identification
    Xinghao Tian
    Wenling Jiao
    Tianjie Liu
    Journal of Civil Structural Health Monitoring, 2022, 12 : 1191 - 1208
  • [5] Intelligent leak detection method for low-pressure gas pipeline inside buildings based on pressure fluctuation identification
    Tian, Xinghao
    Jiao, Wenling
    Liu, Tianjie
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2022, 12 (05) : 1191 - 1208
  • [6] Research on Leak Detection of Low-Pressure Gas Pipelines in Buildings Based on Improved Variational Mode Decomposition and Robust Kalman Filtering
    Lin, Wenfeng
    Tian, Xinghao
    SENSORS, 2024, 24 (14)
  • [7] A new leak location method based on leakage acoustic waves for oil and gas pipelines
    Liu, Cui-wei
    Li, Yu-xing
    Yan, Yu-kun
    Fu, Jun-tao
    Zhang, Yu-qian
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2015, 35 : 236 - 246
  • [8] Leak detection in low-pressure gas distribution networks by probabilistic methods
    Gupta, Payal
    Zan, Thaw Tar Thein
    Wang, Mengmeng
    Dauwels, Justin
    Ukil, Abhisek
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2018, 58 : 69 - 79
  • [9] Machine Learning Model Comparison for Leak Detection in Noisy Industrial Pipelines
    Kampelopoulos, Dimitrios
    Papastavrou, George N.
    Kousiopoulos, George P.
    Karagiorgos, Nikolaos
    Goudos, Sotirios K.
    Nikolaidis, Spyridon
    2020 9TH INTERNATIONAL CONFERENCE ON MODERN CIRCUITS AND SYSTEMS TECHNOLOGIES (MOCAST), 2020,
  • [10] Experimental study on leak detection and location for gas pipeline based on acoustic method
    Meng, Lingya
    Li Yuxing
    Wang Wuchang
    Fu Juntao
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2012, 25 (01) : 90 - 102
12345