DocumentCode :
2020324
Title :
Failure detection using optimal parity vector sensitive to special sensor failure
Author :
Jin, Hong ; Zhang, Hongyue
Author_Institution :
Dept. of Autom. Control, Beijing Univ. of Aeronaut. & Astronaut., China
fYear :
1996
fDate :
8-11 Dec 1996
Firstpage :
55
Lastpage :
61
Abstract :
Based on the parity space construction and the orthogonal constraint condition of parity vector, the approach of failure detection and isolation using optimal parity vector is presented in this paper. Its main idea is to design a performance criterion which is similar to the one proposed by Zhang and Patton (1993), but most sensitive to designated sensor´s failure and least sensitive to other sensor´s failure and unknown inputs such as noises. Through the Monte-Carlo simulation, it is shown that the approach of choosing optimal parity vector greatly increases the ability of failure detection and the effectiveness of failure isolation is better than the generalised likelihood test approach
Keywords :
fault diagnosis; matrix algebra; optimisation; redundancy; sensors; vectors; failure detection; failure isolation; matrix algebra; optimal parity vector; optimisation; orthogonal constraint condition; parity space; redundant sensor systems; sensor failure; Covariance matrix; Equations; Fault detection; Gaussian noise; Loss measurement; Noise measurement; Noise robustness; State-space methods; Testing; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3700-X
Type :
conf
DOI :
10.1109/MFI.1996.568499
Filename :
568499
Link To Document :
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