Machine learning and data mining in manufacturing
A Dogan, D Birant - Expert Systems with Applications, 2021 - Elsevier
Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …
[HTML][HTML] Machine learning and artificial intelligence in CNC machine tools, a review
Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …
evolution in computer science and data processing systems which can be used in order to …
Industry 5.0 or industry 4.0 S? Introduction to industry 4.0 and a peek into the prospective industry 5.0 technologies
A Raja Santhi, P Muthuswamy - International Journal on Interactive Design …, 2023 - Springer
Abstract The Industrial Revolution can be termed as the transformation of traditional
industrial practices into new techniques dominated by the technologies available at that …
industrial practices into new techniques dominated by the technologies available at that …
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time
S Ayvaz, K Alpay - Expert Systems with Applications, 2021 - Elsevier
In this study, a data driven predictive maintenance system was developed for production
lines in manufacturing. By utilizing the data generated from IoT sensors in real-time, the …
lines in manufacturing. By utilizing the data generated from IoT sensors in real-time, the …
Predictive maintenance planning for industry 4.0 using machine learning for sustainable manufacturing
MH Abidi, MK Mohammed, H Alkhalefah - Sustainability, 2022 - mdpi.com
With the advent of the fourth industrial revolution, the application of artificial intelligence in
the manufacturing domain is becoming prevalent. Maintenance is one of the important …
the manufacturing domain is becoming prevalent. Maintenance is one of the important …
Tool wear prediction in face milling of stainless steel using singular generative adversarial network and LSTM deep learning models
During milling operations, wear of cutting tool is inevitable; therefore, tool condition
monitoring is essential. One of the difficulties in detecting the state of milling tools is that they …
monitoring is essential. One of the difficulties in detecting the state of milling tools is that they …
Artificial intelligence-based human-centric decision support framework: an application to predictive maintenance in asset management under pandemic environments
Pandemic events, particularly the current Covid-19 disease, compel organisations to re-
formulate their day-to-day operations for achieving various business goals such as cost …
formulate their day-to-day operations for achieving various business goals such as cost …
Integration of maintenance management system functions with industry 4.0 technologies and features—A review
BW Shaheen, I Németh - Processes, 2022 - mdpi.com
Industry 4.0 is the latest technological age, in which recent technological developments are
being integrated within industrial systems. Consequently, maintenance management of …
being integrated within industrial systems. Consequently, maintenance management of …
Intelligent machine learning based total productive maintenance approach for achieving zero downtime in industrial machinery
The unpredicted breakdowns in any industrial plant paves way for huge loss to the industry
in terms of production and profit. If near future breakdowns are known well ahead of time …
in terms of production and profit. If near future breakdowns are known well ahead of time …
Predictive maintenance for pump systems and thermal power plants: State-of-the-art review, trends and challenges
J Fausing Olesen, HR Shaker - Sensors, 2020 - mdpi.com
Thermal power plants are an important asset in the current energy infrastructure, delivering
ancillary services, power, and heat to their respective consumers. Faults on critical …
ancillary services, power, and heat to their respective consumers. Faults on critical …