NEURAL NETWORK CONTROL SYSTEM AND DIAGNOSIS ELECTROCHEMICAL BATTERY AS PART OF ASSURED SUPPLY

М.M. Nakaznenko

Its is defined, that the task of monitoring and diagnosing an electrochemical storage device can be solved by applying the apparatus of neural networks. The study proposed a conceptual framework for monitoring and diagnosis of neural network developed a block diagram of neural network system for monitoring and diagnosing the electrochemical battery in the autonomous power supply systems, which consists of a neural network of sensors, ADCs, filters, neural chip, only memory, random access memory, and an optocoupler connected to the parallel port of a PC with RS232. Identified key structural elements of the circuit and their function. The developed system allows for more effective monitoring and diagnosis of electrochemical storage devices.

Key words: electrochemical storage, neural network, control and diagnosis, autonomous power supply system.