Dr.-Ing. Andreas Varga sprach über das Thema:
The model-based approach to fault diagnosis has been the focus of continuing research during several decades. For linear time-invariant systems, the solution approaches of the underlying fault detection and isolation problems are both theoretically and computationally well developed. Although the linear synthesis methodologies offer satisfactory solutions for many practical applications, performance limitations (e.g., lack of sufficient robustness) may still occur when facing more complicated systems. Nevertheless, linear synthesis methods are frequently used to address problems where the underlying system models are nonlinear and/or parameter dependent. Besides providing insight on the achievable performance and particular structural features, linear synthesis techniques form the basis of gain-scheduling-based robust synthesis methodologies. These aspects are illustrated by a case study, which addresses the robust monitoring of air-data sensor faults during the cruise of a civil aircraft.
Ort: Gebäude ID, Etage 03, Raum 401
Termin: Dienstag, 12. April 2016, 15:00 Uhr