Rights accessRestricted access - author's decision
The purpose of this paper is to design a Fault Detection and Isolation (FDI) system based on interval LPV observers with application to a real fuel cell.
The interval LPV observer is used to generate
an adaptive threshold to enhance the robustness of the fault detection test. Real field data and system identification techniques are used to identify the nominal model as well as its uncertainty. Since fuel
cells are highly non-linear systems when operating in their whole range of operation, a LPV model is used. Finally, fault isolation is based on an algorithm that
uses the residual fault sensitivity. Several fault scenarios are used to show the performance of the proposed approach.
Citationde Lira, S.; Puig, V.; Quevedo, J. Fault detection and isolation of a real PEM fuel cell using interval LPV observers. A: IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes. "8th SAFEPROCESS 2012: IFAC International Symposium on Fault Detection, Supervision and Safety for Technical Processes". México City: IFAC, 2012, p. 90-95.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: email@example.com