Logical Methods Usage in Diagnostics of the Multi-agents Air-conditioning System

The possibility of cooperative agents usage for the on-board air conditioning system research and diagnosis is considered. A logical model for type I and II faults searching is proposed. This work provides an opportunity to master the practical knowledge and skills the first and second types logical models building to obtaining a minimum test of performance and finding malfunctions and damages the place at complex information systems development, operation and maintenance the stages. An algorithm has been developed that combines the development a generalized I type logical model from the system functional circuit input side and the subsequent construction II type a logical model from its free outputs. The deep learning metod allows to increase the accuracy of the model, the speed of finding faults, predicting and preventing accidents