Lubrication Regime classification of hydrodynamic journal bearings by machine learning using Torque Data

Jakob Moder; Philipp Bergmann; Florian Grün

doi:10.3390/lubricants6040108

Lubrication Regime classification of hydrodynamic journal bearings by machine learning using Torque Data

Jakob Moder, Philipp Bergmann, Florian Grün

Chair of Mechanical Engineering (140)

Research output: Contribution to journal › Article › Research › peer-review

4 Citations (Scopus)

Original language	English
Article number	108
Journal	Lubricants
Volume	6
Issue number	4
DOIs	https://doi.org/10.3390/lubricants6040108
Publication status	Published - 14 Dec 2018

Keywords

Classification
Condition monitoring
Data analysis
Journal bearing
Logistic regression
Lubrication
Machine learning
Neural network
Tribology

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10.3390/lubricants6040108Licence: CC BY

Cite this

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title = "Lubrication Regime classification of hydrodynamic journal bearings by machine learning using Torque Data",

keywords = "Classification, Condition monitoring, Data analysis, Journal bearing, Logistic regression, Lubrication, Machine learning, Neural network, Tribology",

author = "Jakob Moder and Philipp Bergmann and Florian Gr{\"u}n",

year = "2018",

month = dec,

day = "14",

doi = "10.3390/lubricants6040108",

language = "English",

volume = "6",

journal = "Lubricants",

issn = "2075-4442",

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T1 - Lubrication Regime classification of hydrodynamic journal bearings by machine learning using Torque Data

AU - Moder, Jakob

AU - Bergmann, Philipp

AU - Grün, Florian

PY - 2018/12/14

Y1 - 2018/12/14

KW - Classification

KW - Condition monitoring

KW - Data analysis

KW - Journal bearing

KW - Logistic regression

KW - Lubrication

KW - Machine learning

KW - Neural network

KW - Tribology

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DO - 10.3390/lubricants6040108

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VL - 6

JO - Lubricants

JF - Lubricants

IS - 4

M1 - 108

ER -

Lubrication Regime classification of hydrodynamic journal bearings by machine learning using Torque Data

Keywords

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