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

Lehrstuhl für Allgemeinen Maschinenbau (140)

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Begutachtung

4 Zitate (Scopus)

Originalsprache	Englisch
Aufsatznummer	108
Fachzeitschrift	Lubricants
Jahrgang	6
Ausgabenummer	4
DOIs	https://doi.org/10.3390/lubricants6040108
Publikationsstatus	Veröffentlicht - 14 Dez. 2018

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10.3390/lubricants6040108Lizenz: CC BY

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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",

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AU - Grün, Florian

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KW - Condition monitoring

KW - Data analysis

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KW - Logistic regression

KW - Lubrication

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KW - Neural network

KW - Tribology

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