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...
Main Authors: | Paweł Pawlik, Konrad Kania, Bartosz Przysucha |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/14/4231 |
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