International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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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)
  • Published : 2007.04.30
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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

References

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