Excessive and untimely maintenance prompts economic losses and unnecessary workload.
Therefore, predictive maintenance models are developed to estimate the right time for …

Prognostics and Health Management (commonly called PHM) is a field that focuses on the
degradation mechanisms of systems in order to estimate their health status, anticipate their …

Logging tools widely used in the oil and gas industry are exposed to demanding
environmental conditions that can lead to faster degradation and unexpected failures. These …

Ce mémoire résume mes activités de recherche, d'encadrement et d'enseignement. Ces
activités concernent les périodes de thèse, d'Attaché Temporaire d'Enseignement et de …

The work of this thesis was initiated by a Radiomic learning problem. Radiomics is a medical
discipline that aims at the large-scale analysis of data from traditional medical imaging to …

L'estimation de la durée de vie utile restante (RUL) est une mesure pronostique efficace qui
prévoit l'état de santé de la machine en fonction de la modélisation de la dégradation et de …

This paper introduces a data-driven approach for estimating the remaining useful life of the
neutron generator component in logging-while-drilling tools. The approach builds on …

Abstract Gas Turbine Operators and Maintainers face the challenge of increasing the
operational life, availability, and reliability of Aero Engine during the operations amid the …

The railway infrastructure condition is a crucial factor for the safe and efficient operation of
trains. Regular maintenance is inevitable as the track geometry degrades over time due to …

The precise estimation of Remaining Useful Life (RUL) holds crucial importance in
mitigating the risks of machine failures, specifically in prognosis and condition-based …