A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis

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Record: found
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A review on the application of deep learning in system health management

Samir Z. Khan, Takehisa Yairi (2018)

0 comments Cited 172 times – based on 0 reviews      Review now

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Record: found
Abstract: not found
Article: not found

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

Zhen-Ya Wang, Wei-Li Qin, Jian Ma … (2017)

0 comments Cited 119 times – based on 0 reviews      Review now

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Record: found
Abstract: not found
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Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

Feng Jia, Saibo Xing, Na Lu … (2018)

0 comments Cited 105 times – based on 0 reviews      Review now

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Author and article information

Journal

Title: Mechanical Systems and Signal Processing

Abbreviated Title: Mechanical Systems and Signal Processing

Publisher: Elsevier BV

ISSN (Print): 08883270

Publication date Created: March 2021

Publication date (Print): March 2021

Volume: 150

Page: 107233

Article

DOI: 10.1016/j.ymssp.2020.107233

SO-VID: d3d4d851-5195-4db7-84f5-2f687ab17e3a

License:

https://www.elsevier.com/tdm/userlicense/1.0/

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