AIAA Guidance, Navigation, and Control (GNC) Conference 2013
DOI: 10.2514/6.2013-5185
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Dendritic Cell Mechanism for Aircraft Immunity-Based Failure Detection and Identification

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Cited by 7 publications
(15 citation statements)
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“…In particular, the peptides that appear on the surface of a mature DC are specific to the invading antigen (Janeway et al, 2005). Similarly, the migrated DCs in the artificial DC mechanism presented in Section 3 carry information that is useful in identifying the failed subsystem and in evaluating the type and severity of the failure (Al Al Azzawi et al, 2013. This information is summarized by the triggered-features matrix, F 1 , defined in Eq.…”
Section: The Dendritic Cell Mechanism As a Pattern Recognition Problemmentioning
confidence: 99%
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“…In particular, the peptides that appear on the surface of a mature DC are specific to the invading antigen (Janeway et al, 2005). Similarly, the migrated DCs in the artificial DC mechanism presented in Section 3 carry information that is useful in identifying the failed subsystem and in evaluating the type and severity of the failure (Al Al Azzawi et al, 2013. This information is summarized by the triggered-features matrix, F 1 , defined in Eq.…”
Section: The Dendritic Cell Mechanism As a Pattern Recognition Problemmentioning
confidence: 99%
“…Naïve Bayes classifier is a probabilistic supervised learning algorithm which provides very high classification rate with very fast training and validation phases in most practical applications (Bishop, 2006;Murphy, 2006). Besides, the classifier provides an automated way of establishing the reference patterns (Al Al Azzawi et al, 2013. These advantages of the classifier make it the most suitable algorithm for the purpose of pattern recognition of the failure identification problem.…”
Section: The Features-pattern Approach For Failure Identificationmentioning
confidence: 99%
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“…Note that a more complicated function than max can be considered such as one describing a dendritic cell mechanism [35].…”
Section: Immunity-based Abnormal Condition Detectionmentioning
confidence: 99%
“…(35) or Eq. (36) is applied to each subself, and a composition logic C must be designed to obtain the current identification outcome as Idt t CIdt ti ; i 1; 2; : : : ; N ss (38) then Eq.…”
Section: If Eq (3) Is Used Then the Current Identification Outcome mentioning
confidence: 99%