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
نویسنده
چکیده
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 MonteCarlo simulation and the performance is given through fault detection probability, correct isolation probability, and wrong isolation probability.
منابع مشابه
Simultaneous Fault Isolation of Redundant Inertial Sensors based on the Reduced-Order Parity Vectors✝
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 ...
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