Litvinenko V.I.

Diagnosing Technical Objects Based on Artificial Immune Systems and Bayesian Networks

A generalized information technology for building artificial immune systems for solving problems of technical diagnosis is proposed. The technology allows creating a mathematical description of the drift parameters and detecting anomalies in the operation of complex technical systems. The novel method and algorithm for detecting the location and type of failure of complex engineering system with Bayesian networks and information content criteria are created. The information technology for neural networks development based on the theory of immune systems is developed.