| KEYWORD |
AI for Prognostics: a Survey on Emerging approaches and implementation
Parole chiave ARTIFICIAL INTELLIGENCE, COMPUTATIONAL MODELING, COMPUTATIONAL TOPOLOGY, ALGORITHMS DEVELOPMENT, PHM, PROGNOSTICS
Riferimenti MATTEO DAVIDE LORENZO DALLA VEDOVA, PAOLO MAGGIORE
Riferimenti esterni Leonardo BALDO
Gruppi di ricerca 16-ASTRA: Additive manufacturing for Systems and sTRuctures in Aerospace
Tipo tesi REVIEW, REVIEW OF ARTICLES
Descrizione Prognostics and health management (PHM) technologies aim to alleviate the burden of maintenance tasks associated with products or processes by conducting diagnostic and prognostic activities. These activities generate actionable information that facilitates intelligent decision-making, leading to enhanced performance, safety, reliability, and maintainability. PHM requires platform-oriented and solution-oriented approaches that cannot be generalized due to the particular problem and system the PHM strategy is built upon. However, a systematic review on the most influential AI application for prognostics could provide extremely useful insights on the direction this branch is going towards.
Conoscenze richieste Knowledge of Artificial Intelligence and related applications/approaches
Scadenza validita proposta 31/10/2025
PROPONI LA TUA CANDIDATURA