Neural networks-based scheme for system failure detection and diagnosis

Y.M. Chen and M.L. Lee

Mathematics and Computers in Simulation (MATCOM), 2002, vol. 58, issue 2, 101-109

Abstract: In this paper, the neural networks of fault tolerant control scheme in flight control is presented. The scheme can be broken up into three steps: fault detection, diagnosis, and accommodation. Particularly emphasis is placed on fault detection and diagnosis employing neural networks in this paper. The testing of the scheme is illustrated through F-16 aircraft model for an actuator failure.

Keywords: Fault detection; Fault diagnosis; Neural network (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475401003305
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:58:y:2002:i:2:p:101-109

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().