Micro gas turbines in the future smart energy system: fleet monitoring, diagnostics, and system level requirements

I Aslanidou, M Rahman, V Zaccaria… - Frontiers in Mechanical …, 2021 - frontiersin.org
The energy generation landscape is changing, pushed by stricter regulations for emissions
control and green energy generation. The limitations of renewable energy sources …

Analysis of quantitative metrics for assessing resilience of human-centered CPPS workstations

T Aruväli, M De Marchi, E Rauch - Scientific Reports, 2023 - nature.com
Manufacturing companies' preparedness level against external and internal disruptions is
complex to assess due to a lack of widely recognized or standardized models. Resilience as …

Predicting Conversion and Catalyst Performance of a De-hydrogen Catalytic Reactor in Urea Plant

MRG Pangestu, AGA Jameel - Arabian Journal for Science and …, 2023 - Springer
Explosion risk is one of the main reason a de-hydrogen catalytic reactor is installed in most
urea fertilizer plants. The reactor removes hydrogen impurities from carbon dioxide by …

Quality Control of Cement Clinker through Operating Condition Classification and Free Calcium Oxide Content Prediction

X Lyu, D Chu, X Lu, J Mu, Z Zhang, D Yun - Applied Sciences, 2024 - mdpi.com
Recent advances in artificial intelligence (AI) technologies such as deep learning open up
new opportunities for various industries, such as cement manufacturing, to transition from …

Generic Digital Twin Development Framework for Enhancing Energy Efficiency and Flexibility in Industrial Production Processes

DA Howard - 2023 - portal.findresearcher.sdu.dk
This research addresses the growing need for energy efficiency and flexibility in industrial
production processes in the context of the evolving dynamics of the global energy transition …

[PDF][PDF] A Holistic DLT Architecture for Industry 4.0.

D Stefanescu - 2023 - researchgate.net
ABSTRACT Industry 4.0, also recognized as the fourth industrial revolution, symbolizes an
innovative phase of manufacturing. It is driven by emerging technologies like Artificial …

Water Quality and Water Pollution Monitoring Using Artificial Intelligence

GA El-Chaghaby, S Rashad, M Chavali… - … and Modeling for …, 2023 - taylorfrancis.com
Water quality is among the most significant environmental components for increasing
climate change adaptation. However, outstanding to poor water quality as a result of …

[图书][B] On a learning system for industrial automation: Model-based control and diagnostics for decision support

M Rahman - 2022 - search.proquest.com
Access to energy is fundamental to economic and technological advancement. Hence, the
more the world develops, the greater the demand for energy becomes. Evidently, the …

Comparison of machine learning approaches for spectroscopy applications

I Aslanidou, J Soibam - Scandinavian Simulation Society, 2022 - ecp.ep.liu.se
In energy production the characterization of the fuel is a key aspect for modelling and
optimizing the operation of a power plant. Near-infrared spectroscopy is a wellestablished …

[PDF][PDF] Dual internet links to provide safe transformation of analog tags between client and server in process automation

MB Mahmood, JM Abdul-Jabbar - researchgate.net
In any industrial system, critical parts need to work perfectly to maintain the minimum
requirements of industrial processes and ensure the sustainability of production. In this …