International audienceWith the Thales Group digital transformation, model-driven AI (Arificial Intelligence) and data-driven AI are becoming a cornerstone to predictive maintenance.The aim of this paper is to give a brief overview of various AI techniques which are use to address predictive maintenance issues .Avec la transformation numérique du Groupe Thales, l'in-telligence artificielle (IA) qu'elle soit orientée par les modèles (IA symbolique) ou basée sur les données (IA connexioniste) devient un élément clé pour la maintenance prévisionnelle. L'objectif de cet article est de dresser un rapide panorama des différentes technologies d'IA mise en oeuvre dans Thales pour outiller les activités de maintenance prévisionnelle
The maintenance domain is currently facing challenges related to the advents of the digital landscap...
Today, the manufacturing industry seeks to improve competitiveness by converging on new technologies...
The changing nature of manufacturing, in recent years, is evident in industry's willingness to adopt...
Industry 4.0 must respond to some challenges such as the flexibility and robustness of unexpected co...
Prognostics and health management (PHM) has become a crucial aspect of the management of engineering...
In this paper a methodology for developing predictive maintenance decision support systems based on ...
Prognostics and health management (PHM) has become a crucial aspect of the management of engineering...
Le domaine de la maintenance fait aujourd'hui face à de nouveaux enjeux majeurs dus à l’émergence du...
Recent advances in Artificial Intelligence extend the boundaries of what machines can do in all indu...
This paper is the final report on Predictive Maintenance System for Aircraft Engine using Artificial...
Predictive maintenance has emerged as a powerful approach to optimize the maintenance of complex sys...
Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interacti...
L'augmentation des données disponibles dans presque tous les domaines soulève la nécessité d'utilise...
Predictive maintenance aims at proactively assessing the current condition of assets and performing ...
Introduction/purpose: At the end of 2019, the Government of the Republic of Serbia adopted the Stra...
The maintenance domain is currently facing challenges related to the advents of the digital landscap...
Today, the manufacturing industry seeks to improve competitiveness by converging on new technologies...
The changing nature of manufacturing, in recent years, is evident in industry's willingness to adopt...
Industry 4.0 must respond to some challenges such as the flexibility and robustness of unexpected co...
Prognostics and health management (PHM) has become a crucial aspect of the management of engineering...
In this paper a methodology for developing predictive maintenance decision support systems based on ...
Prognostics and health management (PHM) has become a crucial aspect of the management of engineering...
Le domaine de la maintenance fait aujourd'hui face à de nouveaux enjeux majeurs dus à l’émergence du...
Recent advances in Artificial Intelligence extend the boundaries of what machines can do in all indu...
This paper is the final report on Predictive Maintenance System for Aircraft Engine using Artificial...
Predictive maintenance has emerged as a powerful approach to optimize the maintenance of complex sys...
Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interacti...
L'augmentation des données disponibles dans presque tous les domaines soulève la nécessité d'utilise...
Predictive maintenance aims at proactively assessing the current condition of assets and performing ...
Introduction/purpose: At the end of 2019, the Government of the Republic of Serbia adopted the Stra...
The maintenance domain is currently facing challenges related to the advents of the digital landscap...
Today, the manufacturing industry seeks to improve competitiveness by converging on new technologies...
The changing nature of manufacturing, in recent years, is evident in industry's willingness to adopt...