Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications

SN Zulkifli, HA Rahim, WJ Lau - Sensors and Actuators B: Chemical, 2018 - Elsevier
Water monitoring technologies are widely used for contaminants detection in wide variety of
water ecology applications such as water treatment plant and water distribution system. A …

Wireless Sensor Networks in oil and gas industry: Recent advances, taxonomy, requirements, and open challenges

MY Aalsalem, WZ Khan, W Gharibi, MK Khan… - Journal of network and …, 2018 - Elsevier
The industrial world of oil and gas involves critical processes and machinery for the
exploration, extraction, refining, transporting and marketing petroleum products. Oil and gas …

A comprehensive survey on wireless sensor node hardware platforms

F Karray, MW Jmal, A Garcia-Ortiz, M Abid, AM Obeid - Computer Networks, 2018 - Elsevier
Wireless sensor nodes are the main components in wireless sensor networks. Such devices
affect the performance and the accuracy of the network. Countless commercial and research …

Micro-electromechanical systems-based technologies for leak detection and localization in water supply networks: A bibliometric and systematic review

S Tariq, Z Hu, T Zayed - Journal of Cleaner Production, 2021 - Elsevier
Leakages from water pipelines cause economic losses and environmental hazards. Despite
the damages, it is challenging to avoid leaks throughout the lifetime. However, leak …

A reliable Internet of Things based architecture for oil and gas industry

WZ Khan, MY Aalsalem, MK Khan… - 2017 19th …, 2017 - ieeexplore.ieee.org
Anomaly detection systems deployed for monitoring in oil and gas industries are mostly
WSN based systems or SCADA systems which all suffer from noteworthy limitations. WSN …

A review of underground pipeline leakage and sinkhole monitoring methods based on wireless sensor networking

H Ali, J Choi - Sustainability, 2019 - mdpi.com
Major metropolitan cities worldwide have extensively invested to secure utilities and build
state-of-the-art infrastructure related to underground fluid transportation. Sewer and water …

Machine learning model and strategy for fast and accurate detection of leaks in water supply network

X Fan, X Zhang, XB Yu - Journal of Infrastructure Preservation and …, 2021 - Springer
The water supply network (WSN) is subjected to leaks that compromise its service to the
communities, which, however, is challenging to identify with conventional approaches …

REDECA: a novel framework to review artificial intelligence and its applications in occupational safety and health

M Pishgar, SF Issa, M Sietsema, P Pratap… - International journal of …, 2021 - mdpi.com
Introduction: The field of artificial intelligence (AI) is rapidly expanding, with many
applications seen routinely in health care, industry, and education, and increasingly in …

Earnpipe: A testbed for smart water pipeline monitoring using wireless sensor network

F Karray, A Garcia-Ortiz, MW Jmal, AM Obeid… - Procedia Computer …, 2016 - Elsevier
Large quantities of water are wasted daily due to leakages in pipelines. In order to decrease
this waste and preserve water, advanced systems could be used. In this context, a Wireless …

An innovative machine learning based framework for water distribution network leakage detection and localization

X Fan, X Yu - Structural Health Monitoring, 2022 - journals.sagepub.com
Leakages in the underground water distribution networks (WDNs) waste over 1 billion gallon
of water annually in the US and cause significant socio-economic loss to our communities …