Back to Search
Start Over
The challenge of advanced model-based FDIR for real-world flight-critical applications
- 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.
- Subjects :
- 020301 aerospace & aeronautics
0209 industrial biotechnology
business.industry
Computer science
Scale (chemistry)
Survivability
02 engineering and technology
Fault (power engineering)
Fault detection and isolation
Identification (information)
020901 industrial engineering & automation
Key factors
0203 mechanical engineering
Artificial Intelligence
Control and Systems Engineering
Systems engineering
Electrical and Electronic Engineering
Aerospace
business
Simulation
Subjects
Details
- ISSN :
- 09521976
- Volume :
- 68
- Database :
- OpenAIRE
- Journal :
- Engineering Applications of Artificial Intelligence
- Accession number :
- edsair.doi...........ab27b075c02933ed67179a10df72c621