Fault Detection and Isolation of Linear Impulsive Systems (original) (raw)

Fault detection and isolation filter design by inversion: The case of linear systems

4th IFAC SAFEPROCESS …, 2000

This article proposes a new filter design method fault detection and isolation. The method is based-on two necessary conditions: the first condition is a weak failure observability and the another is a weak failure separability condition. If the two conditons are satisfied, we can design the filter via Luenberger's observers and one dynamic post-filter. The post-filter is designing by a inverse dynamical. In this method, the (C, A)-invariance is completely ignored.

A fault detection and isolation filter for discrete linear systems

Isa Transactions, 2003

The problem of fault and/or abrupt disturbances detection and isolation for discrete linear systems is analyzed in this work. A strategy for detecting and isolating faults and/or abrupt disturbances is presented. The strategy is an extension of an already existing result in the continuous time domain to the discrete domain. The resulting detection algorithm is a Kalman filter with a special structure. The filter generates a residuals vector in such a way that each element of this vector is related with one fault or disturbance. Therefore the effects of the other faults, disturbances, and measurement noises in this element are minimized. The necessary stability and convergence conditions are briefly exposed. A numerical example is also presented.

Fault Isolation Filter for Nonlinear Systems

IFAC Proceedings Volumes, 2003

In the paper the problem of detecting and isolating multiple faults for nonlinear systems is considered. A strategy of state filtering is derived in order to detect and isolate multiple faults which appear simultaneously or sequentiaIJy in a discrete time nonlinear systems with unknown inputs. For the considered system for which a fault isolation condition is fulfilled the proposed method can isolate p simultaneous faults with at least p+q output measurements, where q is the number of unknown inputs or disturbances. A reduced output residual vector of dimension p+q is generated and the elements of this vector are decoupled in a way that each element of the vector is associated with only one fault or un measured input.

Robust Fault Detection and Isolation in Nonlinear Systems

IFAC Proceedings Volumes, 1994

The paper deals with the problem of fault detection and isolation in continuous-time dynamic system using analytical redundancy, The nonlinear models of the actual systems are used. The problems of observer design and robustness are discussed.

Robust Fault Detection and Isolation via Unknown Input Observers

IFAC Proceedings Volumes, 2000

Fault detection filters (a particular class of full order Luenberger observers) are used to generate directional residuals for the pwpose of fault isolation. Optimal observers depend on what do we want to achieve in tenns of fault isolation and robustness. The paper proposes improved methods for fault isolation and a new unknown input observer with enhanced robustness (in the disturbance decoupling sense). Simulations for various scenarios sustain the conclusions.

FILTER for DETECTING and ISOLATING FAULTS for NONLINEAR SYSTEM

Abstract: In the paper the problem of detecting and isolating multiple faults for nonlinear systems is considered. A strategy of state filtering is derived in order to detect and isolate multiple faults which appear simultaneously or sequentially in a discrete time nonlinear systems with unknown inputs. For the considered system for which a fault isolation condition is fulfilled the proposed method can isolate p simultaneous faults with at least p+ q output measurements, where q is the number of unknown inputs or disturbances.

Fault isolation filter design for linear stochastic systems

Automatica, 1999

This paper is concerned with the problem of detecting and isolating multiple faults by a special structure of the full-order Kalman "lter. A new state "ltering 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 "lter 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 e!ect of plant and state noises is minimized. Necessary and su$cient conditions for stability and convergence of the proposed "lter are established.