The robust fault detection filter design problem for singular TS fuzzy systems with time-delay is studied. Using an observer-based fuzzy fault detection filter as the residual generator, the fault detection filter design is converted to an H∞ filtering problem such that the generated residual is the H∞ estimation of the fault. Sufficient conditions are given, which guarantee the robust H∞ fault...

This paper studies the robust fault detection problem using the standard H∞ filtering formulation. With this formulation, the minimization of the disturbance effect on the residual is formulated as a standard H∞ filtering problem and the design is solved using standard H∞ techniques. To facilitate the enhancement of the residual sensitivity to the fault, the difference between the residual and ...

This paper considers the design of robust`1 estimators based on multiplier theory (which is intimately related to the mixed structured singular value theory) and the application of robust`1 estimators to robust fault detection. The key to estimator-based, robust fault detection is to generate residuals which are robust against plant uncertainties and external disturbance inputs, which in turn r...

Active fault detection consists of finding an auxiliary input signal the use of which allows detection of the masked faults using a multi-model framework in continuous or discretetime cases. In this paper, a modified approach to optimal auxiliary signal design in robust fault detection based on a multi-model formulation of healthy and faulty systems is used to study the problem of active fault ...

This paper uses the Popov-Tsypkin multiplier (which has intimate connections to mixed structured singular value theory) to design robust H∞ estimators for uncertain, linear discrete-time systems and considers the application of robust H∞ estimators to robust fault detection. The key to estimator-based, robust fault detection is to generate residuals which are robust against plant uncertainties ...

This paper uses the Popov-Tsypkin multiplier (which has intimate connections to mixed struc-tured singular value theory) to design robust H 1 estimators and considers the application of the robust H 1 estimator to robust fault detection for uncertain linear discrete-time systems. The key to estimator-based robust fault detection is to generate residuals which are robust against plant uncertaint...

This paper proposes a fault detection method for an actuator fault of an aluminum plate thermal process with input constraints. Operator-based robust right coprime factorization approach is utilized in this method. In details, after creating a mathematical model, a robust tracking operator system is designed. Following this, design of the fault detection system is given. Finally, experiment is ...

In this contribution, problems related to the integrated design of observer-based robust H∞ controller and robust fault detection (RFD) system is studied for uncertain LTI systems with both modelling errors and unknown input. We first propose to use an ideal solution, which is in fact an optimization solution of fault detection filter achieved on the assumption of the system model is perfectly ...

Subspace methods enjoy some popularity, especially in mechanical engineering, where large model orders have to be considered. In the context of detecting changes in the structural properties and the modal parameters linked to them, some subspace based fault detection residual has been recently proposed and applied successfully. However, most works assume that the unmeasured ambient excitation l...