Fault detection and isolation of the wind turbine based on the real-valued negative selection algorithm

Author	Alizadeh, E.
Author	Meskin, Nader
Author	Benammar, M.
Author	Khorasani, K.
Available date	2022-04-14T08:45:45Z
Publication Date	2013
Publication Name	2013 7th IEEE GCC Conference and Exhibition, GCC 2013
Resource	Scopus
Identifier	http://dx.doi.org/10.1109/IEEEGCC.2013.6705740
URI	http://hdl.handle.net/10576/29823
Abstract	This 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.
Language	en
Publisher	2013 7th IEEE GCC Conference and Exhibition, GCC 2013
Subject	Artificial 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
Title	Fault detection and isolation of the wind turbine based on the real-valued negative selection algorithm
Type	Conference Paper
Pagination	11-16
dc.accessType	Abstract Only

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