The Method of Rolling Bearing Fault Diagnosis Based on Multi-Domain Supervised Learning of Convolution Neural Network

The rolling bearing is a critical part of rotating machinery and its condition determines the performance of industrial equipment; it is necessary to detect rolling bearing faults as early as possible. The traditional methods of fault diagnosis are not efficient and are time-consuming. With the help...

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Hlavní autoři:	Xuejun Liu, Wei Sun, Hongkun Li, Zeeshan Hussain, Aiqiang Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-06-01
Edice:	Energies
Témata:	rolling bearing fault diagnosis convolution neural network multi-domain supervised learning
On-line přístup:	https://www.mdpi.com/1996-1073/15/13/4614
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