dc.contributor.author | Raza, H. | en |
dc.contributor.author | Ioannou, Petros A. | en |
dc.contributor.author | Youssef, H. M. | en |
dc.creator | Raza, H. | en |
dc.creator | Ioannou, Petros A. | en |
dc.creator | Youssef, H. M. | en |
dc.date.accessioned | 2019-12-02T10:38:05Z | |
dc.date.available | 2019-12-02T10:38:05Z | |
dc.date.issued | 1994 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/57577 | |
dc.description.abstract | In this paper we consider the problem of detecting control surface failures of a high performance aircraft. The detection model is developed using a linear, six degree of freedom dynamic model of an F/A-18 aircraft. The detection scheme makes use of a residual tracking error between the actual system and the model output in order to detect and identify a particular fault. Two parallel models detect the existence of a surface failure, whereas the isolation and magnitude of any one of the possible failure modes is estimated by a decision algorithm using either neural networks or fuzzy logic. Simulation results demonstrate that detection can be achieved without false alarms even in the presence of actuator/sensor dynamics and noise. | en |
dc.publisher | IEEE | en |
dc.source | IEEE International Conference on Neural Networks - Conference Proceedings | en |
dc.source | Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0028754119&partnerID=40&md5=8c53e8b5473dcf258a693c6f91f22064 | |
dc.subject | Mathematical models | en |
dc.subject | Models | en |
dc.subject | Estimation | en |
dc.subject | Decision theory | en |
dc.subject | Algorithms | en |
dc.subject | Neural networks | en |
dc.subject | Failure analysis | en |
dc.subject | Control systems | en |
dc.subject | Dynamics | en |
dc.subject | Error detection | en |
dc.subject | Fuzzy sets | en |
dc.subject | Surfaces | en |
dc.subject | Fuzzy logic | en |
dc.subject | Aircraft | en |
dc.subject | Residual tracking error | en |
dc.subject | Aircraft control surface failure | en |
dc.subject | Surface failure detection | en |
dc.title | Surface failure detection for an F/A-18 aircraft using neural networks and fuzzy logic | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.description.volume | 5 | |
dc.description.startingpage | 3363 | |
dc.description.endingpage | 3368 | |
dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: IEEE | en |
dc.description.notes | Conference code: 42367 | en |
dc.description.notes | Cited By :5</p> | en |
dc.contributor.orcid | Ioannou, Petros A. [0000-0001-6981-0704] | |
dc.gnosis.orcid | 0000-0001-6981-0704 | |