Designing of an effective structure of system for the maintenance of a technical object with the using information from an artificial neural network

The present article covers a description of the structures of maintenance systems with a diagnostic artificial neural network as well as a description of those systems that are without a neural network (organized in a classical manner). Such a maintenance system that is organized on the basis of information from an artificial neural network is a rational system. In this system, maintenance costs are significantly reduced (a reduced time required for regeneration and reduced expenditures on preventative activities). Also, theoretical basis is presented of the modelling of the structure of the maintenance system of objects in the form of the following models: mathematical (analytical), graphical and descriptive. For the purpose of the research being conducted, the methodology was developed of a synthesis of the structure of the maintenance system of technical objects (continuous operation), that is such technical objects that require short shutdown times (aircrafts, radiolocation systems, power engineering equipment, etc.).