Improving the efficiency of autonomous locomotive engines by monitoring the condition of the running engine oil

The article offers an approach to improving the efficiency of engines during the operation of autonomous locomotives according to controlled values of the concentration of wear products in engine oil using the developed lubrication system. An apparatus for artificial neural networks has been develop...

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Bibliographic Details
Main Authors: Petukhov, S. A., Minakov, V. A., Lazarev, E. A., Kurmanova, L. S., Lazarev, B. E., Erzamaev, M. P.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Artificial neural networks
Condition monitoring
Engine components
Engines
Lubrication systems
Online Access:Get full text
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Summary:The article offers an approach to improving the efficiency of engines during the operation of autonomous locomotives according to controlled values of the concentration of wear products in engine oil using the developed lubrication system. An apparatus for artificial neural networks has been developed to determine the pre-failure state of engine parts. In the course of training an artificial neural network, software was created that implements the developed algorithm for detecting intensive wear of engine parts.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0148391