An Analysis of the Influence of Surface Roughness and Clearance on the Dynamic Behavior of Deep Groove Ball Bearings Using Artificial Neural Networks

The deep groove ball bearing is one of the most important components of the rotary motion system and is the research subject in this paper. After factory assembly, new ball bearings need to pass quality control. The conventional approach relies on measuring the vibration amplitudes for each unit and...

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Vydáno v:	Materials Ročník 16; číslo 9; s. 3529
Hlavní autoři:	Knežević, Ivan, Rackov, Milan, Kanović, Željko, Buljević, Anja, Antić, Aco, Tica, Milan, Živković, Aleksandar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 04.05.2023 MDPI
Témata:	Algorithms Analysis Artificial intelligence Artificial neural networks Back propagation networks Ball bearings Clearances Control algorithms Digitization Fault diagnosis Grooves Machine learning Motion systems Multilayer perceptrons Neural networks Quality control Quality management Signal processing Surface roughness Velocity Vibration Vibration analysis Vibration measurement clearance vibration neural network bearing surface roughness
ISSN:	1996-1944, 1996-1944
On-line přístup:	Získat plný text
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