A systematic mapping of the advancing use of machine learning techniques for predictive maintenance in the manufacturing sector
The increasing availability of data, gathered by sensors and intelligent machines, is
changing the way decisions are made in the manufacturing sector. In particular, based on …
changing the way decisions are made in the manufacturing sector. In particular, based on …
Business analytics in Industry 4.0: A systematic review
Abstract Recently, the term “Industry 4.0” has emerged to characterize several Information
Technology and Communication (ICT) adoptions in production processes (eg, Internet‐of …
Technology and Communication (ICT) adoptions in production processes (eg, Internet‐of …
Applying machine learning in intelligent sewage treatment: A case study of chemical plant in sustainable cities
Nowadays, sewage treatment in sustainable cities attracts more researchers both from
academic and industrial communities. Especially, since industrial sewage is normally highly …
academic and industrial communities. Especially, since industrial sewage is normally highly …
Systematic literature review predictive maintenance solutions for SMEs from the last decade
S Hassankhani Dolatabadi, I Budinska - Machines, 2021 - mdpi.com
Today, small-and medium-sized enterprises (SMEs) play an important role in the economy
of societies. Although environmental factors, such as COVID-19, as well as non …
of societies. Although environmental factors, such as COVID-19, as well as non …
Predictive maintenance-bridging artificial intelligence and IoT
GG Samatas, SS Moumgiakmas… - 2021 IEEE World AI …, 2021 - ieeexplore.ieee.org
This paper highlights the trends in the field of predictive maintenance with the use of
machine learning. With the continuous development of the Fourth Industrial Revolution …
machine learning. With the continuous development of the Fourth Industrial Revolution …
The role of chemical composition of high-manganese cast steels on wear of excavating chain in railway shoulder bed ballast cleaning machine
J Krawczyk, M Bembenek, J Pawlik - Materials, 2021 - mdpi.com
The main task for a ballast bed is to transmit the sleeper pressure in a form of stress cone to
the subsoil, provide proper drainage and resist the sleeper displacement. Poorly maintained …
the subsoil, provide proper drainage and resist the sleeper displacement. Poorly maintained …
Anomaly detection and classification in predictive maintenance tasks with zero initial training
F Morselli, L Bedogni, U Mirani, M Fantoni, S Galasso - IoT, 2021 - mdpi.com
The Fourth Industrial Revolution has led to the adoption of novel technologies and
methodologies in factories, making these more efficient and productive. Among the new …
methodologies in factories, making these more efficient and productive. Among the new …
[HTML][HTML] Maintenance and digital health control in smart manufacturing based on condition monitoring
F Assad, S Konstantinov, H Nureldin, M Waseem… - Procedia CIRP, 2021 - Elsevier
Smart manufacturing is the modern form of manufacturing that utilises Industry 4.0 enablers
for decision making and resources planning by taking advantage of the available data …
for decision making and resources planning by taking advantage of the available data …
A survey on machine learning based smart maintenance and quality control solutions
Machine learning aided tasks and processes have key roles in smart manufacturing,
especially in controlling production and assembly lines, as well as smart maintenance and …
especially in controlling production and assembly lines, as well as smart maintenance and …
Xrepo 2.0: A big data information system for education in prognostics and health management
N Romero, R Medrano, K Garces… - … of Prognostics and …, 2021 - papers.phmsociety.org
Abstract Within Industry 4.0, Prognostics and Health Management (PHM) holds great
potential due to its ability to bring deep insights into the current state of manufacturing …
potential due to its ability to bring deep insights into the current state of manufacturing …