Automated system for diagnosing the structural failures of the unmanned vessel

Abstract

The studies show that individual elements of a vessel component that are subjected to variable-repeated loads may be destroyed even at lower voltages than any other calculated component (unit). This problem is particularly important for the dynamically developing direction of unmanned navigation, which operation may be carried out with a reduced crew, in its absence – both remotely and autonomously. Conditions of cyclic variable loads in corrosive media also play an important role with a total number of operation cycles, which may reach many millions over the entire operation period. It should be noted that the statistics show that about 80% of accidents in maritime transport are caused by fatigue effects. This paper is devoted to the development of software that is able to predict fatigue failure of units and structures. The paper also descriunmanned vessel the application within an unmanned vessel, as well as the use of described mathematical algorithm in a device with the possibility of projection of augmented reality on vessel units for further prediction. The described method of predicting the strength and simplifying the service is relevant when remote security controls are required.