Unbiased minimum-variance linear state estimation
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Detection of abrupt changes: theory and application
Detection of abrupt changes: theory and application
Generating directional residuals with dynamic parity relations
Automatica (Journal of IFAC)
Paper: A survey of design methods for failure detection in dynamic systems
Automatica (Journal of IFAC)
Observer-based Fault Detection and Isolation for 2D State-space Models
Multidimensional Systems and Signal Processing
Brief paper: Kalman filters in non-uniformly sampled multirate systems: For FDI and beyond
Automatica (Journal of IFAC)
Journal of Control Science and Engineering
International Journal of Applied Mathematics and Computer Science
Hi-index | 22.15 |
This paper is concerned with the problem of detecting and isolating multiple faults by a special structure of the full-order Kalman filter. A new state filtering strategy is developed to detect and isolate multiple faults appearing simultaneously or sequentially in discrete time stochastic systems. Under a fault isolation condition, the proposed method can isolate q simultaneous faults with at least q output measurements. The fault isolation filter generates a reduced output residual vector of dimension q so that its ith component is decoupled from all but the ith fault and so that the effect of plant and state noises is minimized. Necessary and sufficient conditions for stability and convergence of the proposed filter are established.