Autonomous fault diagnosis: state of the art and aeronautical benchmark

Julien Marzat (1, 2) , Hélène Piet-Lahanier (1) , Frédéric Damongeot (1) , Eric Walter (2)

1 ONERA - The French Aerospace Lab [Châtillon]
2 L2S - Laboratoire des signaux et systèmes

This paper briefly reviews the state of the art in Fault detection and Isolation (FDI), and describes a test-case for in-flight fault diagnosis. The main concepts are recalled, the links between the approaches are indicated and the most promising methods are highlighted. The nonlinear models of the system, its sensors and actuators are described in the second part of the article, along with fault scenarios. Constraints restrict the approaches that are applicable on the test-case and suggest quantitative indices that can be used to evaluate fault diagnosis strategies in an aeronautical context.

Mots clés: aircraft; analytical redundancy; fault detection and isolation; model-based FDI; nonlinear systems; pattern recognition

Domaines: Automatique / Robotique

Julien Marzat, Hélène Piet-Lahanier, Frédéric Damongeot, Eric Walter. Autonomous fault diagnosis: state of the art and aeronautical benchmark. 3rd European Conference for Aero-Space Sciences, EUCASS'2009, Jul 2009, Versailles, France. pp.76. ⟨hal-00429743⟩