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

Cheol-Kwan Yang and Duk-Sun Shim
International Journal of Control, Automation, and Systems, vol. 5, no. 2, pp.155-160, 2007

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.

Keyword : Fault detection and isolation, inertial sensors, reduced-order parity vector, redundant sensors.

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