Data mining in predictive maintenance systems: A taxonomy and systematic review

A Esteban, A Zafra, S Ventura - Wiley Interdisciplinary Reviews …, 2022 - Wiley Online Library
Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …

AI for tribology: Present and future

N Yin, P Yang, S Liu, S Pan, Z Zhang - Friction, 2024 - Springer
With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI)
can assist researchers in swiftly extracting valuable patterns, trends, and associations from …

Deep learning-based image segmentation for defect detection in additive manufacturing: An overview

S Deshpande, V Venugopal, M Kumar… - The International Journal …, 2024 - Springer
Additive manufacturing (AM) applications are rapidly expanding across multiple domains
and are not limited to prototyping purposes. However, achieving flawless parts in medical …

Operations-aware novelty detection framework for CNC machine tools: proposal and application

M Macchi, L Cattaneo, A Polenghi, D Bruno… - … International Journal of …, 2023 - Springer
Digitisation offers manufacturing companies new opportunities to improve their operations
and competitiveness in the market by unleashing potentialities related to real-time …

Software-defined workpiece positioning for resource-optimized machine tool utilization

R Ströbel, Y Probst, L Hutt… - Journal of Machine …, 2023 - yadda.icm.edu.pl
Advancing climate change, tense world markets, and political pressure steadily increase the
demand for resourceoptimized production solutions. Herby, the positioning of the raw …

Machine Learning-Driven RUL Prediction and Uncertainty Quantification for Ball Screw Drives in a Cloud-Ready Maintenance Framework

A Bott, B Liu, A Puchta, J Fleischer - Journal of Machine …, 2024 - yadda.icm.edu.pl
In today's rapidly evolving industrial landscape, efficient predictive maintenance solutions
are essential for minimizing downtime and enhancing productivity. This research introduces …

[PDF][PDF] Industry 4.0-Applications of machine learning in the field of industrial engineering: Systematic review of the literature

MAD Martinez, RVR Salinas, SR Hernandez… - researchgate.net
The aim of this research is to determine how the implementation of machine learning has
generated advantages in the field of engineering. Through a systematic review of the …

Vers un outil d'évaluation comparative pour la maintenance prédictive: comment comparer différentes approches?

A Guillaume, C Vrain, W Elloumi - EGC 2023-Atelier GATS, 2023 - hal.science
L'industrie 4.0 et la maintenance prédictive sont des domaines très actuels, les applications
industrielles sont aujourd'hui nombreuses, ainsi que les articles présentant des modèles …

[PDF][PDF] Bildbasierte Quantifizierung und Prognose des Verschleißes an Kugelgewindetriebspindeln

IG Lanza, T Schlagenhauf - scholar.archive.org
For the realization of autonomous production machines, it is necessary to enable them to
independently assess the condition of their components and, in a medium-term step, inform …