Volume 6, 2013Progress in Flight Dynamics, Guidance, Navigation, Control, Fault Detection, and Avionics
|Page(s)||363 - 374|
|Section||Fault detection and control|
|Published online||02 December 2013|
Tuning and comparing fault diagnosis methods for aeronautical systems via kriging-based optimization
ONERA − The French Aerospace Lab Palaiseau F-91123, France
2 L2S, CNRS-SUPELEC-Univ Paris-Sud Gif-sur-Yvette F-91192, France
Many approaches address fault detection and isolation (FDI) based on analytical redundancy. To rank them, it is necessary to define performance indices and realistic sets of test cases on which they will be evaluated. For the ranking to be fair, each of the methods under consideration should have its internal parameters tuned optimally. The work presented uses a combination of tools developed in the context of computer experiments to achieve this tuning from a limited number of numerical evaluations. The methodology is then extended so as to provide a robust tuning in the worst-case sense.
© Owned by the authors, published by EDP Sciences, 2013
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.