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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on industrial electronics (1982) Vol. 69; no. 3; pp. 3047 - 3058
Main Authors:	Sun, Meidi, Wang, Hui, Liu, Ping, Huang, Shoudao, Wang, Pan, Meng, Jinhao
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!