Potential for using the ANN-FIS meta-model approach to assess levels of particulate contamination in oil used in mechanical systems-Reference-Cited by-同舟云学术

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Potential for using the ANN-FIS meta-model approach to assess levels of particulate contamination in oil used in mechanical systems

Published:2019-07 Issue: Volume:135 Page:324-334
ISSN:0301-679X
Container-title:Tribology International
language:en
Short-container-title:Tribology International

Author:

Vališ David,Gajewski Jakub,Žák Libor

Funder

MOBAUT

University of Technology - Regional Excellence Initiative

Polish Ministry of Science and Higher Education

Publisher

Elsevier BV

Subject

Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanical Engineering,Mechanics of Materials

Reference47 articles.

1. The effect of aging in oil on the performance of a radial lip seal;Guo;Tribol Int,2014

2. The effect of soot and diesel contamination on wear and friction of engine oil pump;Salehi;Tribol Int,2017

3. The determination of combustion engine condition and reliability using oil analysis by MLP and RBF neural networks;Gajewski;Tribol Int,2017

4. Lubricating oil conditioning sensors for online machine health monitoring – a review;Zhu;Tribol Int,2017

5. Perspective approach in using anti-oxidation and anti-wear particles from oil to estimate residual technical life of a system;Vališ;Tribol Int,2018

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2. Spatial-temporal modeling of oil condition monitoring: A review;Reliability Engineering & System Safety;2024-08

3. Unlocking the Potential of Soft Computing for Predicting Lubricant Elemental Spectroscopy;Lubricants;2023-09-07

4. Correlative Method for Diagnosing Gas-Turbine Tribological Systems;Sensors;2023-06-20

5. Remaining useful life prediction of lubrication oil by integrating multi-source knowledge and multi-indicator data;Mechanical Systems and Signal Processing;2023-05

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