A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …
attention because of its promise to further optimize process design, quality control, health …
Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review
Prognostics and health management (PHM) has emerged as a vital research discipline for
optimizing the maintenance of operating systems by detecting health degradation and …
optimizing the maintenance of operating systems by detecting health degradation and …
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance
The introduction of modern technologies in manufacturing is contributing to the emergence
of smart (and data-driven) manufacturing systems, known as Industry 4.0. The benefits of …
of smart (and data-driven) manufacturing systems, known as Industry 4.0. The benefits of …
[HTML][HTML] Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines
In the context of Industry 4.0, companies understand the advantages of performing
Predictive Maintenance (PdM). However, when moving towards PdM, several …
Predictive Maintenance (PdM). However, when moving towards PdM, several …
Real-time remote maintenance support based on augmented reality (AR)
In the realm of the current industrial revolution, interesting innovations as well as new
techniques are constantly being introduced by offering fertile ground for further investigation …
techniques are constantly being introduced by offering fertile ground for further investigation …
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 …
Fault diagnosis and self-healing for smart manufacturing: a review
Manufacturing systems are becoming more sophisticated and expensive, particularly with
the development of the intelligent industry. The complexity of the architecture and concept of …
the development of the intelligent industry. The complexity of the architecture and concept of …
A systematic literature review of predictive maintenance for defence fixed-wing aircraft sustainment and operations
In recent decades, the increased use of sensor technologies, as well as the increase in
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …
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 …
Maintenance performance in the age of Industry 4.0: A bibliometric performance analysis and a systematic literature review
S Werbińska-Wojciechowska, K Winiarska - Sensors, 2023 - mdpi.com
Featured Application This article is focused on a literature review to provide a valuable
resource for understanding the latest developments in the Maintenance 4.0 approach. The …
resource for understanding the latest developments in the Maintenance 4.0 approach. The …