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Intelligent Diagnostics of Vehicle Operating in the Arctic Zone

Polina Buyvol, Eduard Mukhametdinov, Alla Krivonogova, Krzysztof Zabinski, Aleksandr Voroshilov
Abstract: The active development of lucrative territories in the Arctic, which have large reserves of natural resources, has increased the urgency of creating a sustainable transport system in northern region. A special role is given to road transport. However, the remoteness of the territory from the manufacturing plant makes it difficult to provide owners with branded services that support stable operation, so the development of remote diagnostic methods is required, which could, among other things, be carried out by the owners or operators of automotive equipment themselves. It is promising to use a rule base formed on the basis of machine learning. The article describes the principle of operation, architecture and an example of the operation of a web service, which allows, without having knowledge of the design and functioning of the mechanisms, to carry out vehicles’ troubleshooting.
Keywords: Knowledge engineering / Roads / Engineering management / Machine learning / Maintenance engineering / Service-oriented architecture / Manufacturing

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