An analysis of the current state and requirements for the process of diagnosing ship's technical equipment has been carried out. The features of diagnosing ship mechanisms and equipment, methods and means of control and monitoring, detection of defects, values of measured parameters, forecast of residual life, etc. with an as-sessment of the real technical condition of the object are considered. Progress does not stand still, the function-ality and complexity of various systems and mechanisms is increasing every year. This has not bypassed the maritime industry. A modern ship is a complex mechanism, for the normal operation of which constant and careful control by the crew is necessary. To simplify this process, various automated systems have been created. But the more complex such systems, the lower their reliability and the higher the failure rate. Bayesian networks are used to calculate the probability of failure-free operation of ship systems
diagnostics, technical condition, ship power plant, ship technical equipment
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