Stack Autoencoder Transfer Learning Algorithm for Bearing Fault Diagnosis Based on Class Separation and Domain Fusion

In intelligent fault diagnosis, transfer learning can reduce the requirement of sufficient labeled data and the same data distribution. However, for the diagnosis of a new machine, there are still some limitations, such as low accuracy or the demand for some labeled data with fault information in th...

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Vydané v:	IEEE transactions on industrial electronics (1982) Ročník 69; číslo 3; s. 3047 - 3058
Hlavní autori:	Sun, Meidi, Wang, Hui, Liu, Ping, Huang, Shoudao, Wang, Pan, Meng, Jinhao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Algorithms Class separation Classification algorithms Datasets Decoding deep learning domain fusion Domains Fault diagnosis Feature extraction Machine learning Machinery Separation Task analysis Transfer learning transfer learning (TL)
ISSN:	0278-0046, 1557-9948
On-line prístup:	Získať plný text
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