Biblio

In the article the problem of survivability evaluation of control systems is considered. Control system is presented as a graph with edges that formalize minimal control systems consist of receiver, transmitter and a communication line connecting them. Based on the assumption that the survivability of minimal control systems is known, the mathematical model of survivability evaluation of not minimal control systems based on fuzzy logic is offered.

The paper discusses the architectural, algorithmic and computing aspects of creating and operating a class of expert system for managing technological safety of an enterprise, in conditions of a large flow of diagnostic variables. The algorithm for finding a faulty technological chain uses expert information, formed as a set of evidence on the influence of diagnostic variables on the correctness of the technological process. Using the Dempster-Schafer trust function allows determining the overall probability measure on subsets of faulty process chains. To combine different evidence, the orthogonal sums of the base probabilities determined for each evidence are calculated. The procedure described above is converted into the rules of the knowledge base production. The description of the developed prototype of the expert system, its architecture, algorithmic and software is given. The functionality of the expert system and configuration tools for a specific type of production are under discussion.