Research of the possibility of using neural networks in the tests of locomotive hydraulic transmissions
Journal Title: Інформаційно-керуючі системи на залізничному транспорті - Year 2017, Vol 22, Issue 5
Abstract
The possibility of developing a self-diagnostics system of the diesel locomotives hydraulic transmissions information-measuring test system is researched. The use of neural networks and fuzzy logic for the development of a self-diagnostics system of the diesel locomotives hydraulic transmissions information-measuring tests system is proposed. As the initial stage of developing a diagnostic system using neural networks, a neural network is presented which predicts the rotational speed of the hydraulic turbine wheel during run-time tests. For this purpose, a three-layered, fully permeable perceptron is constructed. This perceptron allows to predict the last 24 seconds of rotation of the hydraulic transmission turbine wheel shaft in run-out mode based on the previous 48 seconds with a fairly high accuracy. Such a developed neural network can be used as part of a self-diagnostic subsystem of the diesel locomotives hydraulic transmissions information-measuring test system and in tests of transmissions in run-out mode when the sensor D2-MMU-2 is used.
Authors and Affiliations
I. A. Kliushnyk
Keywords
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- EP ID EP497647
- DOI 10.18664/ikszt.v0i5.115370
- Views 138
- Downloads 0
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