Along the lines of the rerent results on H , output estimation theory this paper deals with the problem of designing robust det~ert.iuir filters in a ront,iniioiis-tiine setting for detecting failures i n uiirert.aiii dynamical systems where methods for decoupling of t,he fault etfrct.s from system perturbations arc not available. Through the appropriate choice of the filter gain a tradeoff is made between the effect of worst-case disturbance and Lz norm of the filter error

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a b s t r a c tTwo different approaches for fault detection, the geometric and the detection filter based methods, are compared in the paper from practical aspects, using the linear parameter-varying (LPV) framework. Presenting two designs allows a comparison of global, system level, and local component level fault detection methods with special emphasis on their relevance to aircraft industry. Practical engineering design decisions are highlighted via applying them to a high-fidelity commercial aircraft problem. The successive steps of the design, including fault modeling, LPV model generation, and LPV FDI filter synthesis, including implementation aspects, are discussed. Results are presented according to the industrial assessment perspectives phrased within the EU ADDSAFE project.

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