TY - JOUR
T1 - Acoustic leak detection approaches for water pipelines
AU - Fan, Harris
AU - Tariq, Salman
AU - Zayed, Tarek
N1 - Funding Information:
The authors gratefully acknowledge the support from the Innovation and Technology Fund (Innovation and Technology Support Programme (ITSP)) and the Water Supplies Department under grant number ITS/067/19FP .
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/6
Y1 - 2022/6
N2 - A reliable leak detection approach is necessary for reducing water loss caused by leakages. Our research reviews the existing acoustic leak detection approaches, including devices for collecting sound, signal processing methods, and ways to detect the presence of leakages. Firstly, a scientometric analysis of relevant bibliographic data from the Scopus database in the last thirty years is carried out. Secondly, based on the results of the scientometric review, the technologies of acoustic leak detection have been systematically reviewed. Acoustic leak detection approaches are classified into non-real time and real-time methods and are thoroughly discussed. Thirdly, acoustic signals collection through noise loggers, wireless sensor networks, accelerometers, hydrophones, or fiber optic sensors is elaborated. Fourthly, signal features extraction using different methods, including time-domain analysis, frequency domain analysis, time-frequency analysis, correlation analysis, and other pre-processing methods are explained. Fifthly, the determination of the presence of leaks using various detection methods is detailed. This paper provides a useful reference for academia and industry for the further development of advanced acoustic leak detection methods.
AB - A reliable leak detection approach is necessary for reducing water loss caused by leakages. Our research reviews the existing acoustic leak detection approaches, including devices for collecting sound, signal processing methods, and ways to detect the presence of leakages. Firstly, a scientometric analysis of relevant bibliographic data from the Scopus database in the last thirty years is carried out. Secondly, based on the results of the scientometric review, the technologies of acoustic leak detection have been systematically reviewed. Acoustic leak detection approaches are classified into non-real time and real-time methods and are thoroughly discussed. Thirdly, acoustic signals collection through noise loggers, wireless sensor networks, accelerometers, hydrophones, or fiber optic sensors is elaborated. Fourthly, signal features extraction using different methods, including time-domain analysis, frequency domain analysis, time-frequency analysis, correlation analysis, and other pre-processing methods are explained. Fifthly, the determination of the presence of leaks using various detection methods is detailed. This paper provides a useful reference for academia and industry for the further development of advanced acoustic leak detection methods.
KW - Acoustics
KW - Leaks detection
KW - Pipelines
UR - http://www.scopus.com/inward/record.url?scp=85127900756&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2022.104226
DO - 10.1016/j.autcon.2022.104226
M3 - Review article
AN - SCOPUS:85127900756
SN - 0926-5805
VL - 138
JO - Automation in Construction
JF - Automation in Construction
M1 - 104226
ER -