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
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