Signal and model-based fault detection for aircraft systems

Abstract : The paper presents several examples on model and signal based fault detection in aircraft Electrical Flight Control System (EFCS). The examples are taken from past and on -going research projects and actions between Airbus Group and the University of Bordeaux (France). The techniques presented have been tested on highly representative aircraft benchmarks, real flight data, or through realtime implementation on Airbus test facilities and real A380 flight tests. The focus is on specific problems associated with each design when it comes to providing viable technological solutions and mechanization schemes. One of the proposed model-based solutions has received certification on new generation Airbus A350 aircraft. It is a great achievemen t for SAFEPROCESS academic community as it demonstrates that a model-based fault detection technique is now flying (first commercial flight: January 15, 2015)
Type de document :
Communication dans un congrès
Preprints, 9th IFAC Symposium on Fault Detection, Supervision and, Sep 2015, Paris, France. Preprints, 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, 〈10.1016/j.ifacol.2015.09.673〉
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https://hal.archives-ouvertes.fr/hal-01250782
Contributeur : Jérome Cieslak <>
Soumis le : mardi 5 janvier 2016 - 12:30:13
Dernière modification le : mardi 5 février 2019 - 15:04:08

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Ali Zolghadri, Jérôme Cieslak, Denis Efimov, David Henry, Goupil Philippe, et al.. Signal and model-based fault detection for aircraft systems. Preprints, 9th IFAC Symposium on Fault Detection, Supervision and, Sep 2015, Paris, France. Preprints, 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, 〈10.1016/j.ifacol.2015.09.673〉. 〈hal-01250782〉

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