The operational experience of ships, as well as environmental problems of particular importance, at present, indicate that one of the main directions of increasing the efficiency of functioning of ship's energy systems is the introduction of modem intelligent tools and methods for monitoring and diagnosing equipment operation. The purpose of the article is to consider the possibilities and potential areas of use of methods and tools of artificial intelligence in the process of controlling marine power plants. The research methodological base consists of modem methods based on the fundamental principles of classical mechanics and electromechanics, heat transfer, automatic control theory, as well as methods of mathematical modeling, general techniques and tools of a systematic approach. In the course of the study, the capabilities of neural networks and computations, wavelet transforms, the method of group accounting of arguments in such areas of control of the SEMS as: forecasting the capacity of plants, calculating the volumetric flow rate of motor fuel, diagnostics of failure of gas turbine blades were analyzed. The results allowed us to conclude that the main goal and advantages of using artificial intelligence is to stimulate the development of effective systems that are able to analyze the state of the SEU in real time and predict the occurrence of malfunctions, which will lead to a decrease in the number of failures in the systems and to reduce production costs.
ship, artificial intelligence, power plant, control, neural network, efficiency
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