31th Congress of the International Council of the Aeronautical Sciences

07 - Systems, Subsystems and Equipment

FAULT DIAGNOSIS METHOD STUDY FOR COMPLEX SYSTEM BASED ON KALMAN FILTERS

W. Niuš, J. Cheng, Xi’an Institute of Applied Optics, China; W. Niuš; šAVIC Computing Technique Research Institute, China

A challenge in the fault diagnosis applications of complex system is the design of a scheme which can distinguish between model uncertainties, disturbances and the occurrence of faults. A variable threshold algorithm is proposed which generate upper-and-lower bound trajectories. The algorithm takes the parametric uncertainties into consideration which can distinguish an fault from uncertainties.


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