Simultaneous Fault Isolation of Redundant Inertial Sensors based on the Reduced-Order Parity Vectors✝
نویسندگان
چکیده
We consider a fault detection and isolation problem for inertial navigation systems which use redundant inertial sensors. We propose a FDI method using average of multiple parity vectors which reduce false alarm and wrong isolation, and improve correct isolation. We suggest the number of redundant sensors required to isolate simultaneous faults. The performance of the proposed FDI algorithm is analyzed by Monte-Carlo simulation.
منابع مشابه
Double Faults Isolation Based on the Reduced-Order Parity Vectors in Redundant Sensor Configuration 155 Double Faults Isolation Based on the Reduced-Order Parity Vectors in Redundant Sensor Configuration
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 co...
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In this paper, a fault detection and isolation technique based on the average of the parity vectors is presented. The parity vector sensitive only to specific faults is obtained first using existing methods [1,2]. A fault detection function defined as the average of q parity vectors obtained in previous time periods is then computed. Faulty sensors are accommodated or included in the estimation...
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تاریخ انتشار 2005