Set-membership parity space approach for fault detection in linear uncertain dynamic systems

Set-membership Parity Space Approach for Fault Detection in Linear Uncertain Dynamic Systems

In this paper, a set-membership parity space approach for linear uncertain dynamic systems is proposed. First, a set of parity relations derived from the parity space approach is obtained by means of a transformation derived from the system characteristic polynomial. As a result of this transformation, parity relations can be expressed in regressor form. On the one hand, this facilitates the pa...

Active fault detection and isolation of discrete-time linear time-varying systems: a set-membership approach

Set-membership parity space hybrid system diagnosis

In this paper, diagnosis for hybrid systems using a parity space approach that considers model uncertainty is proposed. The hybrid diagnoser is composed of modules which carry out the mode recognition and diagnosis tasks interacting each other, since the diagnosis module adapts accordingly to the current hybrid system mode. Moreover, the methodology takes into account the unknown but bounded un...

Fault Detection of Wind Turbines with Uncertain Parameters: A Set-Membership Approach

In this paper a set-membership approach for fault detection of a benchmark wind turbine is proposed. The benchmark represents relevant fault scenarios in the control system, including sensor, actuator and system faults. In addition we also consider parameter uncertainties and uncertainties on the torque coefficient. High noise on the wind speed measurement, nonlinearities in the aerodynamic tor...

Fault Detection of Uncertain Dynamic Systems

This paper deals with fault detection methods taking model uncertainties into account. It focuses on dynamic and structured uncertain models, where parameter uncertainties are described by bounded variables. In order to de-couple residuals from unknown physical variables, a parity space approach is proposed, where the parity matrix depends on uncertain parameters. In this way, residuals are not...