This paper provides results of application of the artificial neural networks for diesel diagnostics based on the results of a spectral analysis of engine oil. Artificial neural network has been created and trained to identify pre-failure condition of the details of cylinder-piston group and crank-and-rod mechanism using the diesel locomotive Д49 as an example.
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