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Double Faults Isolation Based on the Reduced-Order Parity Vectors in Redundant Sensor Configuration  

Yang, Cheol-Kwan (School of Electrical and Electronics Engineering, Chung-Ang University)
Shim, Duk-Sun (School of Electrical and Electronics Engineering, Chung-Ang University)
Publication Information
International Journal of Control, Automation, and Systems / v.5, no.2, 2007 , pp. 155-160 More about this Journal
Abstract
A fault detection and isolation (FDI) problem is considered for inertial sensors, such as gyroscopes and accelerometers and a new FDI method for double faults is proposed using reduced-order parity vector. The reduced-order parity vector (RPV) algorithm enables us to isolate double faults with 7 sensors. Averaged parity vector is used to reduce false alarm and wrong isolation, and to improve correct isolation. The RPV algorithm is analyzed by Monte-Carlo simulation and the performance is given through fault detection probability, correct isolation probability, and wrong isolation probability.
Keywords
Fault detection and isolation; inertial sensors; reduced-order parity vector; redundant sensors;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By Web Of Science : 6  (Related Records In Web of Science)
Times Cited By SCOPUS : 6
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