This paper presents an overview of the technologies and computational strategies that we are developing at Politecnico di Torino to move most of the vehicle health monitoring from offline to online, real-time execution. This will ease the wide adoption of unmanned vehicles in critical operational scenarios, by improving their availability and their mission reliability. Our research addresses the sensor technologies to acquire the data necessary for health monitoring, and the computational strategies required to process such large amount of data in real-time. Our tests showed promising results, suggesting the feasibility of a robust, real-time UxV health monitoring system.

Condition-aware systems: towards real-time health monitoring of unmanned vehicles / Berri, P. C.; Dalla Vedova, M. D. L.; Mainini, L.. - ELETTRONICO. - STO-MP-AVT-355:(2021). (Intervento presentato al convegno AVT-355 Research Workshop (RWS) on Intelligent Solutions for Improved Mission Readiness of Military UxVs nel 03-07 May 2021).

Condition-aware systems: towards real-time health monitoring of unmanned vehicles

P. C. Berri;M. D. L. Dalla Vedova;L. Mainini
2021

Abstract

This paper presents an overview of the technologies and computational strategies that we are developing at Politecnico di Torino to move most of the vehicle health monitoring from offline to online, real-time execution. This will ease the wide adoption of unmanned vehicles in critical operational scenarios, by improving their availability and their mission reliability. Our research addresses the sensor technologies to acquire the data necessary for health monitoring, and the computational strategies required to process such large amount of data in real-time. Our tests showed promising results, suggesting the feasibility of a robust, real-time UxV health monitoring system.
2021
978-92-837-2361-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2912848