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The problem of improving the effectiveness of information systems for monitoring and diagnosing the technical state of industrial objects with dynamic properties is inextricably linked with the formation of optimal space for informative parameters under which control and diagnostics are carried out. The formation of optimal space of informative parameters for monitoring and diagnosing the technical state of industrial object is the task of evaluation regarding limited volume of measurements and parameters characterizing the dynamics of equipment during the test changes in the technical state of industrial object. In the article the space optimization models of informative features are considered on the maximum probability of control and diagnostics of the technical state of dynamic industrial objects criterion. The article considers space optimization models of informative features based on the maximum probability of control and diagnostics of the technical state of dynamic industrial objects. The complex influence of three parameters (geometric distance between diagnosed states, number of informative parameters, training sample volume) on the probability of control and diagnostics of the technical state of industrial objects is studied. The ability to form optimal, maximum probability of control and diagnostics of the technical state of dynamic industrial objects and the system of informative features is proved.

SPACE OPTIMIZATION MODELS OF INFORMATIVE FEATURES FOR CONTROL AND DIAGNOSTICS OF THE TECHNICAL STATE OF DYNAMIC INDUSTRIAL OBJECTS