Industry 4.0 ten years on: A bibliometric and systematic review of concepts, sustainability value drivers, and success determinants
The fourth industrial revolution, known as Industry 4.0, and the underlying digital
transformation, is a cutting-edge research topic across various disciplines. Industry 4.0 …
transformation, is a cutting-edge research topic across various disciplines. Industry 4.0 …
Predictive maintenance and intelligent sensors in smart factory
With the arrival of new technologies in modern smart factories, automated predictive
maintenance is also related to production robotisation. Intelligent sensors make it possible to …
maintenance is also related to production robotisation. Intelligent sensors make it possible to …
Integration of industry 4.0 technologies into total productive maintenance practices
Abstract Total Productive Maintenance (TPM), an important maintenance management
approach grounded on lean principles, has found widespread applicability in the …
approach grounded on lean principles, has found widespread applicability in the …
The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions
SK Jagatheesaperumal, M Rahouti… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …
with novel technological enablers has paved the way for artificial intelligence (AI) and big …
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review
Failure prediction is the task of forecasting whether a material system of interest will fail at a
specific point of time in the future. This task attains significance for strategies of industrial …
specific point of time in the future. This task attains significance for strategies of industrial …
A deep learning model for predictive maintenance in cyber-physical production systems using lstm autoencoders
Condition monitoring of industrial equipment, combined with machine learning algorithms,
may significantly improve maintenance activities on modern cyber-physical production …
may significantly improve maintenance activities on modern cyber-physical production …
Data science applications for predictive maintenance and materials science in context to Industry 4.0
With the revolutionising of the industry to the next generations, machines have become more
complicated. If they are not put to regular maintenance then there is more breakdown and …
complicated. If they are not put to regular maintenance then there is more breakdown and …
Predictive maintenance in the automotive sector: A literature review
With the rapid advancement of sensor and network technology, there has been a notable
increase in the availability of condition-monitoring data such as vibration, temperature …
increase in the availability of condition-monitoring data such as vibration, temperature …
Transition to sustainable chemistry through digitalization
P Fantke, C Cinquemani, P Yaseneva, J De Mello… - Chem, 2021 - cell.com
Modern chemistry is the backbone of our society, but it is also a major contributor to global
environmental pollution and the ongoing climate crisis. The transition toward a sustainable …
environmental pollution and the ongoing climate crisis. The transition toward a sustainable …
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 …