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- W3128798812 abstract "This article discusses the development of an affordable software and hardware complex for monitoring and diagnostics of rotary machines with fluid–film bearings. The software part of the complex was developed on the basis of a four–layer fully–connected artificial neural network. The network was trained and tested according to the results of experiments in a test rig. The contact resistance sensors measurement results were used as input for training. The basis of the hardware of the complex was the Nucleo–144 board with a trained network. Testing of the developed complex showed a diagnostic accuracy of 86%." @default.
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- W3128798812 date "2020-01-01" @default.
- W3128798812 modified "2023-09-26" @default.
- W3128798812 title "CALCULATION OF THE MOBILE DEVICE OF THE BUILDING ROBOT FOR SUSTAINABILITY" @default.
- W3128798812 doi "https://doi.org/10.33979/2073-7408-2020-341-3-67-75" @default.
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