The intelligent system for monitoring and technical diagnostics of complex technological equipment in the agro-industrial complex

Abstract

The article considers the intelligent system of control and technical diagnostics of complex technological equipment and flexible production systems developed by the authors. The provision of automatic selection of important parameters from the entire set of input and output parameters is due to the additional training of the neural network in the process and perhaps by increasing-decreasing the number of active neurons that do not lead to deterioration in the quality of technical diagnostics, but also due to the choice of excess neurons and their activation by retraining or failure of the neurons of the network. Diagnostic systems may include sensors, a computer system, and diagnostic signal display devices. The computational part of the system can contain modules implemented with the possibility of intelligent analysis and containing a dynamic model that is implemented on a trained neural network, and a module implemented with the possibility of additional training of the neural network and the selection of active and redundant neurons.