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 …

Predictive maintenance in Industry 4.0: A systematic multi-sector mapping

P Mallioris, E Aivazidou, D Bechtsis - CIRP Journal of Manufacturing …, 2024 - Elsevier
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 …

Examon-x: a predictive maintenance framework for automatic monitoring in industrial iot systems

A Borghesi, A Burrello, A Bartolini - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …

Predictive maintenance for the optical synchronization system of the European XFEL: a systematic literature survey

A Grünhagen, M Tropmann-Frick, A Eichler, G Fey - BTW 2023, 2023 - dl.gi.de
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 …

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 …

[PDF][PDF] Generative AI in E-maintenance: Myth or Reality?

J Ćelić, T Bronzin, M Horvat, A Jović, A Stipić… - Artificial …, 2024 - researchgate.net
With increasing requirements for reliability, availability, efficiency, effectiveness, productivity,
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

MR Islam, S Begum, MU Ahmed - … Congress and Workshop on Industrial AI, 2024 - Springer
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 …