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Daniel Jancarczyk, Ireneusz Wróbel, Piotr Danielczyk and Marcin Sidzina
Vibration monitoring is essential for maintaining the optimal performance and reliability of industrial machinery, which experiences dynamic forces and vibrations during operation. This study delved into a comprehensive analysis of vibration monitoring i...
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Umberto Albertin, Giuseppe Pedone, Matilde Brossa, Giovanni Squillero and Marcello Chiaberge
New technologies are developed inside today?s companies with the ascent of Industry 4.0 paradigm; Artificial Intelligence applied to Predictive Maintenance is one of these, helping factories automate their systems in detecting anomalies. The deviation of...
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Olga S. Arvaniti, Georgios Gkotsis, Maria-Christina Nika, Stelios Gyparakis, Thrassyvoulos Manios, Nikolaos S. Thomaidis, Michalis S. Fountoulakis and Athanasios S. Stasinakis
The presence of 220 emerging contaminants belonging to different classes (artificial sweeteners, personal care products, coffee and tobacco-related compounds, and industrial chemicals) was investigated in hospital wastewater for the first time. Twenty sa...
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Ruosen Qi, Jie Zhang and Katy Spencer
This paper presents an up-to-date review of data-driven condition monitoring of industrial equipment with the focus on three commonly used equipment: motors, pumps, and bearings. Firstly, the general framework of data-driven condition monitoring is discu...
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Yuxiang Zhang, Reamonn MacReamoinn, Philip Cardiff and Jennifer Keenahan
Aerodynamic performance is of critical importance to the design of long-span bridges. Computational fluid dynamics (CFD) modelling offers bridge designers an opportunity to investigate aerodynamic performance for long-span bridges during the design phase...
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