The Use of Deep Learning Methods in Diagnosing Rotating Machines Operating in Variable Conditions

The Use of Deep Learning Methods in Diagnosing Rotating Machines Operating in Variable Conditions

This paper presents the use of artificial neural networks in diagnosing the technical condition of drive systems operating under variable conditions. The effects of temperature and load variations on the values of diagnostic parameters were considered. An experiment was conducted on a testing rig wh...

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Bibliographic Details
Main Authors: Paweł Pawlik, Konrad Kania, Bartosz Przysucha
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Energies
Subjects:
condition monitoring
vibroacoustic diagnostics
gearbox
power transmission systems
neural networks
deep learning
Online Access:https://www.mdpi.com/1996-1073/14/14/4231

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https://www.mdpi.com/1996-1073/14/14/4231

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