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Digital twins: A survey on enabling technologies, challenges, trends and future prospects
Digital Twin (DT) is an emerging technology surrounded by many promises, and potentials
to reshape the future of industries and society overall. A DT is a system-of-systems which …
to reshape the future of industries and society overall. A DT is a system-of-systems which …
Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are
becoming more and more dynamic, connected but also inherently more complex, with …
becoming more and more dynamic, connected but also inherently more complex, with …
Towards edge computing in intelligent manufacturing: Past, present and future
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs-A review and empirical investigation
The smart manufacturing systems (SMS) offer several advantages compared to the
traditional manufacturing systems and are increasingly being adopted by manufacturing …
traditional manufacturing systems and are increasingly being adopted by manufacturing …
Digital twin enhanced dynamic job-shop scheduling
For dynamic scheduling, which is daily decision-making in a job-shop, machine availability
prediction, disturbance detection and performance evaluation are always common …
prediction, disturbance detection and performance evaluation are always common …
Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review
Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …
Artificial intelligence applications for increasing resource efficiency in manufacturing companies—a comprehensive review
Sustainability improvements in industrial production are essential for tackling climate
change and the resulting ecological crisis. In this context, resource efficiency can directly …
change and the resulting ecological crisis. In this context, resource efficiency can directly …
Indirect monitoring of machining characteristics via advanced sensor systems: a critical review
On-line monitoring of the machining processes provides to detect the amount and type of
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …
A critical review on applications of artificial intelligence in manufacturing
The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
A state-of-the-art review on sensors and signal processing systems in mechanical machining processes
Sensors are the main equipment of the data-based enterprises for diagnosis of the health of
system. Offering time-or frequency-dependent systemic information provides prognosis with …
system. Offering time-or frequency-dependent systemic information provides prognosis with …