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Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks

Crossref DOI link: https://doi.org/10.1007/s00500-018-3256-0

Published Online: 2018-05-25

Published Print: 2018-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Appana, Dileep K.

Prosvirin, Alexander

Kim, Jong-Myon https://orcid.org/0000-0002-5185-1062
Funding

Funding for this research was provided by:

Korea Institute of Energy Technology Evaluation and Planning (20162220100050)

Korea Institute of Energy Technology Evaluation and Planning (20161120100350)

Korea Institute of Energy Technology Evaluation and Planning (20172510102130)

National Research Foundation of Korea (NRF-2016H1D5A1910564)

National Research Foundation of Korea (2016R1D1A3B03931927)
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Article History

First Online: 25 May 2018

Compliance with ethical standards

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: The authors declare no conflict of interest.