Dynamics Modeling of Bearing with Defect in Modelica and Application in Direct Transfer Learning from Simulation to Test Bench for Bearing Fault Diagnosis

In data-driven bearing fault diagnosis, sufficient fault data are fundamental for algorithm training and validation. However, only very few fault measurements can be provided in most industrial applications, bringing the dynamics model to produce bearing response under defects. This paper built a Mo...

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Vydáno v:	Electronics (Basel) Ročník 11; číslo 4; s. 622
Hlavní autoři:	Ruan, Diwang, Chen, Yuxiang, Gühmann, Clemens, Yan, Jianping, Li, Zhirou
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.02.2022
Témata:	Algorithms Artificial neural networks Computer simulation Data collection Defects Degrees of freedom Dynamics Fault diagnosis Feature extraction Hydraulic loading Industrial applications Learning Simulation
ISSN:	2079-9292, 2079-9292
On-line přístup:	Získat plný text
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