Application of the Method and Combined Algorithm on the Basis of Immune Network and Negative Selection for Identification of Turbine Engine Surging. Volodymyr Lytvynenko, Petro Bidyuk, Volodymyr Myrgorod

Abstract. In this paper an application of the new combined algorithm on the basis of immune network and negative selection for identification of aviation gas engine surging is described. The problem of identification of an engine surging is examined as a problem of anomaly detection. The basic drawbacks of negative selection algorithm are examined. It is offered to use the method based on artificial immune network for data processing of detectors set, and for a monitoring phase the scheme of classical negative selection algorithm is used. The results achieved have shown high efficiency of the offered method and algorithm.

Keywords. Surging (french: “pompage”), engine surging, gas turbine engine (GTE), negative selection algorithms, artificial immune network learning algorithm, combined algorithm.

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