Lubrication Regime Classification of Hydrodynamic Journal Bearings by Machine Learning Using Torque Data

Lubrication Regime Classification of Hydrodynamic Journal Bearings by Machine Learning Using Torque Data

Hydrodynamic journal bearings are used within a wide range of machines, such as combustion engines, gas turbines, or wind turbines. For a safe operation, awareness of the lubrication regime, in which the bearing is currently operating, is of great importance. In the current study, highspeed data sig...

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Bibliographic Details
Main Authors: Jakob Moder, Philipp Bergmann, Florian Grün
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Lubricants
Subjects:
journal bearing
lubrication
tribology
machine learning
classification
condition monitoring
data analysis
neural network
logistic regression
Online Access:https://www.mdpi.com/2075-4442/6/4/108

Internet

https://www.mdpi.com/2075-4442/6/4/108

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