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

المؤلفAlizadeh, E.
المؤلفMeskin, Nader
المؤلفBenammar, M.
المؤلفKhorasani, K.
تاريخ الإتاحة2022-04-14T08:45:45Z
تاريخ النشر2013
اسم المنشور2013 7th IEEE GCC Conference and Exhibition, GCC 2013
المصدرScopus
المعرّفhttp://dx.doi.org/10.1109/IEEEGCC.2013.6705740
معرّف المصادر الموحدhttp://hdl.handle.net/10576/29823
الملخصThis 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.
اللغةen
الناشر2013 7th IEEE GCC Conference and Exhibition, GCC 2013
الموضوعArtificial 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
العنوانFault detection and isolation of the wind turbine based on the real-valued negative selection algorithm
النوعConference Paper
الصفحات11-16
dc.accessType Abstract Only


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