文章基本信息

标题：A Data-Driven Approach to Detect Faults in the Airbus Flight Control System
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作者：Philippe Goupil ; Simone Urbano ; Jean-Yves Tourneret 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：17
页码：52-57
DOI：10.1016/j.ifacol.2016.09.010
语种：English
出版社：Elsevier
摘要：This paper presents a data-driven strategy for the detection of failures impacting the flight control system. Early and robust detection of Oscillatory Failure Case (OFC) allows the aircraft structural design to be optimized, which in turn helps improve the aircraft environmental footprint thanks to weight saving. Compared to existing model-based techniques already used on in-service Airbus aircraft, this paper studies a novel signal processing approach based on distance and correlation. It is shown that a mixed similarity index between Euclidean distance and logarithmic invariant divergence gives promising detection results. This paper details the proposed approach by insisting on practical constraints due to implementation in embedded real-time systems such as the flight control computer. Preliminary results obtained from a Verification & Validation (V&V) on-going campaign are presented.
关键词：AircraftFlight ControlFault DetectionDiagnosisOscillatory Fault Case