Title :
Distributed real-time model-based diagnosis
Author :
Chung, S.H. ; Barrett, A.
Author_Institution :
Artificial Intelligence & Space Syst. Labs., Massachusetts Inst. of Technol., Cambridge, CA, USA
Abstract :
While past flight projects involved flying single spacecraft in isolation, over forty proposed future missions involve multiple coordinated spacecraft. This paper presents an approach to onboard anomaly diagnosis that combines the simplicity and real-time guarantee of a rule-based diagnosis system. This system also provides a clear path to distributing the diagnosis process across a number of processors on one or more spacecraft.
Keywords :
diagnostic expert systems; distributed processing; real-time systems; space vehicles; diagnosis process; flight projects; model-based diagnosis; multiple coordinated spacecraft; onboard anomaly diagnosis; rule-based diagnosis system; Artificial intelligence; Extraterrestrial measurements; Isolation technology; Laboratories; Planets; Proposals; Real time systems; Space missions; Space technology; Space vehicles;
Conference_Titel :
Aerospace Conference, 2003. Proceedings. 2003 IEEE
Conference_Location :
Big Sky, MT, USA
Print_ISBN :
0-7803-7651-X
DOI :
10.1109/AERO.2003.1235065