Title :
System health management for Unmanned Aerial Vehicle: Conception, state-of-art, framework and challenge
Author :
Dai Jing ; Wang haifeng
Author_Institution :
Chendu Aircraft Design & Res. Inst., AVIC, Chengdu, China
Abstract :
This paper presents the future reasonable and feasible technology of prognostics and health management (PHM) for the Unmanned Aerial Vehicle (UAV). Based on the introduction of the System Health Management (SHM) for complex systems, we propose an SHM system framework and architecture for UAV to improve the reliability and maintenance for the complex UAV systems. In this framework, the related state-of-arts, key techniques are analyzed in detail. Finally, the challenges in SHM for UAVs are illuminated.
Keywords :
aerospace computing; autonomous aerial vehicles; condition monitoring; control engineering computing; fault diagnosis; software architecture; software maintenance; software reliability; PHM; SHM system; UAV architecture; complex UAV systems maintenance; complex UAV systems reliability; prognostics and health management; system health management; unmanned aerial vehicle; Aerospace electronics; Aircraft; Data models; Maintenance engineering; Monitoring; Prognostics and health management; Testing; Prognostics and Health Management; SHM System Framework; System Health Management; Unmanned Aerial Vehicle;
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2013 IEEE 11th International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-0757-1
DOI :
10.1109/ICEMI.2013.6743144
