The challenge of advanced model-based FDIR for real-world flight-critical applications. (February 2018)

• Record Type: Journal Article
• Authors: Zolghadri, Ali
• Is Part Of: Engineering applications of artificial intelligence. Volume 68(2017:Aug.)
• Page Start: 249
• Page End: 259
• Publication Date: 2018-02
• Subjects: EFCS Electrical Flight Control System -- FBW Fly-By-Wire -- FCC Flight Control Computer -- GNC Guidance, Navigation and Control -- FDD Fault Detection and Diagnosis -- FDIR Fault Detection, Identification and Recovery -- FTC Fault Tolerant Control -- FTG Fault Tolerant Guidance -- GNC Guidance, Navigation and Control -- LOC-I Loss Of Control In-flight -- ADIRS Air Data Inertial Reference System -- V&V Validation & Verification -- TRL Technology Readiness Level -- SIB System Integration Bench -- SCADE™ Safety Critical Application Development Environment; Fault Detection, Identification and Recovery -- Aerospace and aviation -- Flight-critical systems; Engineering -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Ingénierie -- Informatique -- Périodiques; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; Artificial intelligence; Engineering -- Data processing; Expert systems (Computer science); Periodicals; 620.00285
• DOI: 10.1016/j.engappai.2017.10.012
• Languages: English
• ISSNs: 0952-1976

Abstract

Abstract: This paper aims at providing a brief perspective of advanced model-based Fault Detection, Identification and Recovery (FDIR) for aerospace and flight-critical systems. A number of practical key factors for designing credible technological options are emphasized. Such considerations are decisive for the survivability of the design during ground/flight Validation & Verification (V&V) activities. The views reported in this paper are based on lessons learnt and results achieved through actions undertaken with Airbus during the last decade. As an illustrative example, a model-based fault monitoring technique is presented which has reached level 5 on Technological Readiness Level scale under V&V investigations at Airbus.