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AuthorAlizadeh, E.
AuthorMeskin, Nader
AuthorKhorasani, K.
Available date2022-04-14T08:45:41Z
Publication Date2017
Publication Name2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/SMC.2016.7844400
URIhttp://hdl.handle.net/10576/29791
AbstractIn this paper, an online sensor fault detection and isolation (FDI) scheme is proposed based on an emerging Artificial Immune System (AIS) algorithm, namely Dendritic Cell Algorithm (DCA). Our proposed methodology is utilized in a distributed manner in order to perform sensor FDI in complex systems. The proposed methodology is then applied to a wind turbine benchmark model in order to demonstrate its capabilities. 2016 IEEE.
SponsorQatar Foundation; Qatar National Research Fund
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCells
Cybernetics
Immune system
Wind turbines
Artificial Immune System
Artificial immune system algorithms
Benchmark models
Dendritic cell algorithms
Dendritic cell algorithms (DCA)
Fault detection and isolation
Sensor fault
Sensor fault detection
Fault detection
TitleA sensor fault detection and isolation strategy by using a Dendritic Cell Algorithm
TypeConference Paper
Pagination1171-1177
dc.accessType Abstract Only


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