METHOD FOR ANTIFAULT CONTROL OF COMPLEX TECHNICAL SYSTEMS
Journal: TRANSPORT DEVELOPMENT (Vol.1, No. 1)Publication Date: 2017-09-27
Authors : V.V. VYCHUZHANIN S.N. KONOVALOV;
Page : 45-59
Keywords : hybrid expert system; neural networks; fuzzy logic; database; knowledge base; antifault control; diagnostics; forecasting; complex technical system;
Abstract
A method for antifault control of complex technical systems (CTS) is proposed using hybrid expert systems (HES), which are built on the basis of neural networks (NN) and fuzzy logic that uses databases (DB) and automated knowledge bases (KB). This method uses monitoring, diagnostics and forecasting of the CTS data, calculating its operability. Then the reliability of the system under consideration is determined from the obtained data. Also, the system is capable of self-learning. Proceeding from this, with the help of a multi-agent control system, the system is influenced to avoid emergencies. As a result, the CTS emergency control system was developed that combines the advantages of the previously known HES and antifault control methods, which complement each other's advantages and compensate each other's shortcomings.
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