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Fault detection with unscented Kalman filter applied to nonlinear differential-algebraic systems | IEEE Conference Publication | IEEE Xplore

Fault detection with unscented Kalman filter applied to nonlinear differential-algebraic systems


Abstract:

This paper contemplates the unscented Kalman filter (UKF) algorithm for nonlinear semi-explicit index 1 differential-algebraic equation (DAE) systems. Incipient, the form...Show More

Abstract:

This paper contemplates the unscented Kalman filter (UKF) algorithm for nonlinear semi-explicit index 1 differential-algebraic equation (DAE) systems. Incipient, the formulation of the UKF algorithm proposed by Mandela et al. in [1] concerning this system class is outlined and an revised formulation for the unscented Kalman filter for nonlinear semi-explicit index 1 differential-algebraic equation systems is described. Further, a simple and robust residual definition based on the state estimation with the introduced UKF is given aiming at the fault detection. Finally, simulation results illustrate the efficiency of the proposed fault detection approach applied to a hydraulic system.
Date of Conference: 26-29 August 2013
Date Added to IEEE Xplore: 25 November 2013
ISBN Information:
Conference Location: Miedzyzdroje, Poland

References

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