Bidyuk P.I., Litvinenko V.I., Gasanov A.S. Immune network based method for identification of turbine engine surging

A modified method and algorithm of negative selection has been developed to solve the problem of anomalies detection in functioning of complex engineering systems. The method and algorithm for anomalies identification uses the mechanisms of artificial immune networks. The distinctive feature of the algorithm is in updating of training process thanks to which the possibility of adaptive selection is implemented. The experimental study has shown high efficiency of the offered algorithm.

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