Event-based diagnosis of flight maneuvers of a fixed-wing aircraft
Alejandro White and
Ali Karimoddini
Reliability Engineering and System Safety, 2020, vol. 193, issue C
Abstract:
Despite all efforts to improve the reliability of aircraft, the possibility of failure occurrences cannot be completely eliminated, and hence, airplane safety forever remains as a post-developmental concern. In times of peril, flight crews have a minimal amount of time to detect and determine an occurred fault. An automated fault diagnosis tool can help timely detect occurred faults and increase the flight crew’s odds of recovering the plane before a possible crash. As a solution, this paper proposes a diagnosis tool that provides diagnostic information based upon the pilot’s corrective inputs to level an aircraft’s wings. For this purpose, this paper models a fixed-wing aircraft as a discrete event system (DES). The constructed model is then used to develop a diagnosis tool, a so-called diagnoser, for detecting, isolating, and identifying fault occurrences in the ailerons (left and right) of the aircraft. The developed diagnoser can be asynchronously activated during the aircraft’s operation and provides diagnostic information in real time.
Keywords: Fault diagnosis; Flight control; Discrete event systems (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832018314030
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:reensy:v:193:y:2020:i:c:s0951832018314030
DOI: 10.1016/j.ress.2019.106609
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().