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 …

[HTML][HTML] 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 …

Chronic leak detection for single and multiphase flow: A critical review on onshore and offshore subsea and arctic conditions

N Behari, MZ Sheriff, MA Rahman, M Nounou… - Journal of Natural Gas …, 2020 - Elsevier
Leak detection in pipelines has been a prevalent issue for several decades. Pipeline leaks
from sources such as small cracks and pinholes are termed chronic leaks, as they have the …

SimpliMote: A wireless sensor network monitoring platform for oil and gas pipelines

S Ali, A Ashraf, SB Qaisar, MK Afridi… - IEEE Systems …, 2016 - ieeexplore.ieee.org
Wireless sensor networks have extensively been utilized over the years for ambient data
collection from diverse structural deployments including mesh, ad hoc, and hierarchical …

[HTML][HTML] Towards a more realistic approach to the problem of detecting fuel leaks in filling stations: Mixed time windows

P Toledo, R Arnay, J Hernández, M Sigut… - Journal of Cleaner …, 2024 - Elsevier
The early detection of fuel leaks in filling stations is crucial to minimize environmental risks,
such as soil and groundwater contamination. There are some commercial products for fuel …

Fault-tolerant clustering topology evolution mechanism of wireless sensor networks

S Hu, G Li - IEEE Access, 2018 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) are often subject to failures caused by energy depletion,
software or hardware fault of nodes, environmental events, hostile attacks, and other …

Rare event detection and propagation in wireless sensor networks

DC Harrison, WKG Seah, R Rayudu - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
Rarely occurring events present unique challenges to energy constrained systems designed
for long term sensing of their occurrence or effect. Unlike periodic sampling or query based …

Data fault detection in wireless sensor networks using machine learning techniques

PI Priya, S Muthurajkumar, SS Daisy - Wireless Personal Communications, 2022 - Springer
Abstract Wireless Sensor Network (WSN) is a wireless network that consists of spatially
distributed autonomous devices with sophisticated subsystem called sensors to monitor the …

[HTML][HTML] Big data and machine learning: A roadmap towards smart plants

B Dorneanu, S Zhang, H Ruan, M Heshmat… - Frontiers of Engineering …, 2022 - Springer
Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems
via the integration of digital components with the actual physical units involved. This process …

Data and decision intelligence for human-in-the-loop cyber-physical systems: Reference model, recent progresses and challenges

M Ma, W Lin, D Pan, Y Lin, P Wang, Y Zhou… - Journal of Signal …, 2018 - Springer
With the rapid development of sensing technology, Cyber-Physical Systems (CPS) are
connecting our real-world and cyber spaces by real-time situation awareness and intelligent …