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AuthorAlizadeh, E.
AuthorMeskin, Nader
AuthorBenammar, M.
AuthorKhorasani, K.
Available date2022-04-14T08:45:45Z
Publication Date2013
Publication Name2013 7th IEEE GCC Conference and Exhibition, GCC 2013
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/IEEEGCC.2013.6705740
URIhttp://hdl.handle.net/10576/29823
AbstractThis paper presents an immune-inspired approach for detecting and isolating faults in a wind turbine system. A negative selection algorithm (NSA) is proposed which is derived from a mechanism in vertebrate immune systems known as negative selection. The proposed strategy is used to perform Fault Detection and Isolation (FDI) on a wind turbine system. The results show that the proposed technique is quite promising for fault detection and isolation in wind turbines. 2013 IEEE.
Languageen
Publisher2013 7th IEEE GCC Conference and Exhibition, GCC 2013
SubjectArtificial Immune System
Fault detection and isolation
Negative selection
Negative selection algorithm
Real-valued negative selection algorithms
Vertebrate immune system
Wind turbine systems
Exhibitions
Immune system
Wind turbines
Fault detection
TitleFault detection and isolation of the wind turbine based on the real-valued negative selection algorithm
TypeConference Paper
Pagination11-16
dc.accessType Abstract Only


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