Remaining Useful Life Prediction of Rolling Bearings Based on Multiscale Convolutional Neural Networ...
Remaining Useful Life Prediction of Rolling Bearings Based on Multiscale Convolutional Neural Network with Integrated Dilated Convolution Blocks
About this item
Full title
Author / Creator
Wang, Ran , Shi, Ruyu , Hu, Xiong and Shen, Changqing
Publisher
Cairo: Hindawi
Journal title
Language
English
Formats
Publication information
Publisher
Cairo: Hindawi
Subjects
More information
Scope and Contents
Contents
Remaining useful life (RUL) prediction is necessary for guaranteeing machinery’s safe operation. Among deep learning architectures, convolutional neural network (CNN) has shown achievements in RUL prediction because of its strong ability in representation learning. Features from different receptive fields extracted by different sizes of convolution...
Alternative Titles
Full title
Remaining Useful Life Prediction of Rolling Bearings Based on Multiscale Convolutional Neural Network with Integrated Dilated Convolution Blocks
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_a199e55f0d154f91a2ca3959100ac259
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a199e55f0d154f91a2ca3959100ac259
Other Identifiers
ISSN
1070-9622
E-ISSN
1875-9203
DOI
10.1155/2021/6616861
