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Model of Information Signals Formation in the Diagnostics of Composite Products

  • Anastasiia Shcherban,
  • Volodymyr Eremenko,
  • Valentyn Mokiichuk,
  • Artur Zaporozhets

摘要

Products made of composite materials, unlike products made of metals, are formed from primary raw materials simultaneously with the formation of the materials themselves. In this case, the process of diagnosing of these materials is characterized by a large influence of random factors caused by changes in the properties of composites that arise as a result of the complexity of manufacturing processes, a large number of types of possible defects that do not lend themselves to a formalized description, the imperfection of diagnostic methods and defectoscopic equipment, and other factors. The reliability of the diagnostics in this case is determined not only by the physical methods used to obtain information about the technical condition of the product, but also by the mathematical models that are the basis of the diagnostic methods and the methods of processing the received information for the purpose of forming the spaces of diagnostic signs and making diagnostic decisions. In the tasks of diagnosing products made of composite materials, under the condition of a limited number of reference samples used for setting up diagnostic systems, the presence of an adequate model, according to which the synthesis of information signals characteristic of objects with various types of defects or degrees of damage occurs, is of great importance, because allows to solve several problems at the same time. First, the existence of such a model allows to create a set of information signals that correspond to possible defects of composites, and therefore can be used to train and adjust computerized diagnostic systems without physically manufacturing reference samples. Secondly, the developed model of the information signal can be used to select the limit value of the sensitivity of the computerized diagnostic system, evaluate its efficiency and adjust the main parameters, to determine the reliability of diagnosis and classification, etc.