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 …
Predictive maintenance in Industry 4.0: A systematic multi-sector mapping
Industry 4.0 is strongly intertwined with big data streaming flows from intelligent sensors and
machinery installed in industrial facilities. Failures can disrupt production and lead the …
machinery installed in industrial facilities. Failures can disrupt production and lead the …
Examon-x: a predictive maintenance framework for automatic monitoring in industrial iot systems
In recent years, the Industrial Internet of Things (IIoT) has led to significant steps forward in
many industries, thanks to the exploitation of several technologies, ranging from Big Data …
many industries, thanks to the exploitation of several technologies, ranging from Big Data …
Navigating the potential applications and challenges of intelligent and sustainable manufacturing for a greener future
S Akhai - 2023 - catalog.lib.kyushu-u.ac.jp
A contemporary approach to manufacturing, intelligent and sustainable manufacturing
makes use of cutting-edge technologies to maximize output, minimize waste, conserve …
makes use of cutting-edge technologies to maximize output, minimize waste, conserve …
A prediction model of human resources recruitment demand based on convolutional collaborative BP neural network
H Li, Q Wang, J Liu, D Zhao - Computational intelligence and …, 2022 - Wiley Online Library
This paper presents an in‐depth study and analysis of the prediction model of force resource
recruitment demand using a convolutional neural network combined with a BP neural …
recruitment demand using a convolutional neural network combined with a BP neural …
Optimizing LSTM-based temperature prediction algorithm for embedded system deployment
P d'Agostino, M Violante… - 2024 IEEE 29th …, 2024 - ieeexplore.ieee.org
This paper presents a flexible Industrial Internet of Things (IIoT) infrastructure model,
highlighting the integration of the Long Short-Term Memory (LSTM) algorithm for predictive …
highlighting the integration of the Long Short-Term Memory (LSTM) algorithm for predictive …
Predictive maintenance for the optical synchronization system of the European XFEL: a systematic literature survey
The optical synchronization system of the European X-ray Free Electron Laser is a
networked cyber-physical system producing a large amount of data. To maximize the …
networked cyber-physical system producing a large amount of data. To maximize the …
Predictive maintenance applied to mission critical supercomputing environments: remaining useful life estimation of a hydraulic cooling system using deep learning
ALCD Lima, VM Aranha, EGS Nascimento - The Journal of …, 2023 - Springer
Given the growth and availability of computing power, artificial intelligence techniques have
been applied to industrial equipment and computing devices in order to identify …
been applied to industrial equipment and computing devices in order to identify …
[PDF][PDF] Generative AI in E-maintenance: Myth or Reality?
With increasing requirements for reliability, availability, efficiency, effectiveness, productivity,
and security of the system, the importance of diagnostics and maintenance is also …
and security of the system, the importance of diagnostics and maintenance is also …
Artificial Intelligence in Predictive Maintenance: A Systematic Literature Review on Review Papers
The fourth industrial revolution, colloquially referred to as “industry 4.0”, has garnered
substantial global attention in recent years. There, Artificial intelligence (AI) driven industrial …
substantial global attention in recent years. There, Artificial intelligence (AI) driven industrial …