Review on automated condition assessment of pipelines with machine learning

Y Liu, Y Bao - Advanced Engineering Informatics, 2022 - Elsevier
Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …

Review of model-based and data-driven approaches for leak detection and location in water distribution systems

Z Hu, B Chen, W Chen, D Tan, D Shen - Water Supply, 2021 - iwaponline.com
Leak detection and location in water distribution systems (WDSs) is of utmost importance for
reducing water loss, which is, however, a major challenge for water utility companies. To this …

[HTML][HTML] Leakage detection in water distribution networks via 1D CNN deep autoencoder for multivariate SCADA data

HM Tornyeviadzi, R Seidu - Engineering Applications of Artificial …, 2023 - Elsevier
Leakages are undesirable events in water distribution networks (WDNs) with mostly
unknown incident time making it extremely difficult to accurately label leaks in distribution …

Portable NIR spectroscopy and PLS based variable selection for adulteration detection in quinoa flour

Z Wang, Q Wu, M Kamruzzaman - Food Control, 2022 - Elsevier
Quinoa flour is prone to economically motivated adulteration due to its high nutritional value
and growing demand worldwide. In this study, portable near-infrared spectroscopy (NIRS) …

[HTML][HTML] Addressing data limitations in leakage detection of water distribution systems: Data creation, data requirement reduction, and knowledge transfer

Y Wu, S Liu, Z Kapelan - Water Research, 2024 - Elsevier
Leakage in water distribution systems is a significant problem worldwide, leading to wastage
of water resources, compromised water quality and excess energy consumption. Leakage …

Machine learning algorithm selection for windage alteration fault diagnosis of mine ventilation system

L Liu, J Liu, Q Zhou, D Huang - Advanced Engineering Informatics, 2022 - Elsevier
Abstract Machine learning algorithms have been widely used in mine fault diagnosis. The
correct selection of the suitable algorithms is the key factor that affects the fault diagnosis …

A solution for water management and leakage detection problems using IoTs based approach

AS Ali, MN Abdelmoez, M Heshmat, K Ibrahim - Internet of Things, 2022 - Elsevier
Water management, distribution, and consumption are not visualized in real time in
conventional systems; this delays the leakage detection process. Nowadays, an increase in …

Automatic representation and detection of fault bearings in in-wheel motors under variable load conditions

XB Wang, L Luo, L Tang, ZX Yang - Advanced Engineering Informatics, 2021 - Elsevier
The wear fault of the inner and outer race of bearing in an in-wheel motor is vital as the
performance of bearing effects the transmission efficiency. Unlike the commonly used …

Graph-based data mining, pattern recognition and anomaly detection for intelligent energy networks

F Grassi, G Manganini, K Kouramas - Computers & Industrial Engineering, 2024 - Elsevier
Abstract Intelligent Energy Networks play an important role in the contemporary landscape
of energy production and distribution, and the large amount of data produced by their smart …

[HTML][HTML] Digital transformation of peatland eco-innovations ('Paludiculture'): Enabling a paradigm shift towards the real-time sustainable production of 'green-friendly' …

NJ Rowan, N Murray, Y Qiao, E O'neill, E Clifford… - Science of the Total …, 2022 - Elsevier
The world is heading in the wrong direction on carbon emissions where we are not on track
to limit global warming to 1.5° C; Ireland is among the countries where overall emissions …