On predictive maintenance in industry 4.0: Overview, models, and challenges
In the era of the fourth industrial revolution, several concepts have arisen in parallel with this
new revolution, such as predictive maintenance, which today plays a key role in sustainable …
new revolution, such as predictive maintenance, which today plays a key role in sustainable …
Predictive maintenance in the Industry 4.0: A systematic literature review
Industry 4.0 is collaborating directly for the technological revolution. Both machines and
managers are daily confronted with decision making involving a massive input of data and …
managers are daily confronted with decision making involving a massive input of data and …
[HTML][HTML] Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
A Theissler, J Pérez-Velázquez, M Kettelgerdes… - Reliability engineering & …, 2021 - Elsevier
Recent developments in maintenance modelling fueled by data-based approaches such as
machine learning (ML), have enabled a broad range of applications. In the automotive …
machine learning (ML), have enabled a broad range of applications. In the automotive …
The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions
AFS Borges, FJB Laurindo, MM Spínola… - International journal of …, 2021 - Elsevier
Artificial Intelligence tools have attracted attention from the literature and business
organizations in the last decade, especially by the advances in machine learning …
organizations in the last decade, especially by the advances in machine learning …
Machine learning in predictive maintenance towards sustainable smart manufacturing in industry 4.0
Recently, with the emergence of Industry 4.0 (I4. 0), smart systems, machine learning (ML)
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …
within artificial intelligence (AI), predictive maintenance (PdM) approaches have been …
[HTML][HTML] A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics
The building industry consumes the most energy globally, making it a priority in energy
efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the …
efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the …
[HTML][HTML] Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
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 …
Simulation in industry 4.0: A state-of-the-art review
W de Paula Ferreira, F Armellini… - Computers & Industrial …, 2020 - Elsevier
Simulation is a key technology for developing planning and exploratory models to optimize
decision making as well as the design and operations of complex and smart production …
decision making as well as the design and operations of complex and smart production …
Challenges in predictive maintenance–A review
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …