Title :
Model-Based Diagnosis of Hybrid Systems
Author :
Narasimhan, Sriram ; Biswas, Gautam
fDate :
5/1/2007 12:00:00 AM
Abstract :
Techniques for diagnosing faults in hybrid systems that combine digital (discrete) supervisory controllers with analog (continuous) plants need to be different from those used for discrete or continuous systems. This paper presents a methodology for online tracking and diagnosis of hybrid systems. We demonstrate the effectiveness of the approach with experiments conducted on the fuel-transfer system of fighter aircraft
Keywords :
continuous systems; discrete event systems; fault diagnosis; continuous systems; digital discrete supervisory control; fault detection and isolation; fighter aircraft; fuel-transfer system; hybrid systems; model-based diagnosis; Aerospace electronics; Automotive engineering; Continuous time systems; Control systems; Digital control; Fault diagnosis; Military aircraft; Monitoring; NASA; Vehicle dynamics; Fault detection and isolation; hybrid systems; model-based diagnosis (MBD);
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/TSMCA.2007.893487
