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The challenge of advanced model-based FDIR for real-world flight-critical applications

Authors :
Ali Zolghadri
Source :
Engineering Applications of Artificial Intelligence. 68:249-259
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

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.

Details

ISSN :
09521976
Volume :
68
Database :
OpenAIRE
Journal :
Engineering Applications of Artificial Intelligence
Accession number :
edsair.doi...........ab27b075c02933ed67179a10df72c621