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

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 Det...

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Bibliographic Details
Published in2013 7th IEEE GCC Conference and Exhibition (GCC) pp. 11 - 16
Main Authors Alizadeh, E., Meskin, N., Benammar, M., Khorasani, K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2013
Subjects
Abstracts
Artificial Immune System (AIS)
Conferences
Decision support systems
Fault Detection and Isolation (FDI)
Generators
Indexes
Negative Selection Algorithm (NSA)
Wind Turbine
Wind turbines
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ISBN9781479907229
1479907227
DOI10.1109/IEEEGCC.2013.6705740

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Summary: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.
ISBN:9781479907229
1479907227
DOI:10.1109/IEEEGCC.2013.6705740