Pipeline Leak Detection Systems and Data Fusion: A Survey

Uthman Baroudi; Anas A. Al-Roubaiey; Abdullah Devendiran

doi:10.1109/ACCESS.2019.2928487

Pipeline Leak Detection Systems and Data Fusion: A Survey

Uthman Baroudi
, Anas A. Al-Roubaiey^*
, Abdullah Devendiran

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

72 Scopus citations

Abstract

The pipeline leakage problem is a very challenging and critical issue. Solving this problem will save the nation a lot of money, resources and more importantly, it will save the environment. This paper discusses the state of the art of leak detection systems (LDSs) and data fusion approaches that are applicable to pipeline monitoring. A comparison of LDSs is performed based on well-defined criteria. We have classified and critically reviewed these techniques. A thorough analysis and comparison of all the recent works have been provided.

Original language	English
Article number	8760487
Pages (from-to)	97426-97439
Number of pages	14
Journal	IEEE Access
Volume	7
DOIs	https://doi.org/10.1109/ACCESS.2019.2928487
State	Published - 2019

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

Data fusion
WSN
acoustic sensors
leak detection
pipeline monitoring
sensors
wireless sensor networks

ASJC Scopus subject areas

General Computer Science
General Materials Science
General Engineering

Access to Document

10.1109/ACCESS.2019.2928487

Cite this

@article{c2acb486221847c8a2cc2dd6fa3fa165,

title = "Pipeline Leak Detection Systems and Data Fusion: A Survey",

abstract = "The pipeline leakage problem is a very challenging and critical issue. Solving this problem will save the nation a lot of money, resources and more importantly, it will save the environment. This paper discusses the state of the art of leak detection systems (LDSs) and data fusion approaches that are applicable to pipeline monitoring. A comparison of LDSs is performed based on well-defined criteria. We have classified and critically reviewed these techniques. A thorough analysis and comparison of all the recent works have been provided.",

keywords = "Data fusion, WSN, acoustic sensors, leak detection, pipeline monitoring, sensors, wireless sensor networks",

author = "Uthman Baroudi and Al-Roubaiey, \{Anas A.\} and Abdullah Devendiran",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2019",

doi = "10.1109/ACCESS.2019.2928487",

language = "English",

volume = "7",

pages = "97426--97439",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Pipeline Leak Detection Systems and Data Fusion

T2 - A Survey

AU - Baroudi, Uthman

AU - Al-Roubaiey, Anas A.

AU - Devendiran, Abdullah

PY - 2019

Y1 - 2019

N2 - The pipeline leakage problem is a very challenging and critical issue. Solving this problem will save the nation a lot of money, resources and more importantly, it will save the environment. This paper discusses the state of the art of leak detection systems (LDSs) and data fusion approaches that are applicable to pipeline monitoring. A comparison of LDSs is performed based on well-defined criteria. We have classified and critically reviewed these techniques. A thorough analysis and comparison of all the recent works have been provided.

AB - The pipeline leakage problem is a very challenging and critical issue. Solving this problem will save the nation a lot of money, resources and more importantly, it will save the environment. This paper discusses the state of the art of leak detection systems (LDSs) and data fusion approaches that are applicable to pipeline monitoring. A comparison of LDSs is performed based on well-defined criteria. We have classified and critically reviewed these techniques. A thorough analysis and comparison of all the recent works have been provided.

KW - Data fusion

KW - WSN

KW - acoustic sensors

KW - leak detection

KW - pipeline monitoring

KW - sensors

KW - wireless sensor networks

UR - https://www.scopus.com/pages/publications/85070270855

U2 - 10.1109/ACCESS.2019.2928487

DO - 10.1109/ACCESS.2019.2928487

M3 - Article

AN - SCOPUS:85070270855

SN - 2169-3536

VL - 7

SP - 97426

EP - 97439

JO - IEEE Access

JF - IEEE Access

M1 - 8760487

ER -

Pipeline Leak Detection Systems and Data Fusion: A Survey

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this