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Fault state detection and remaining useful life prediction in AC powered solenoid operated valves based on traditional machine learning and deep neural networks

Crossref DOI link: https://doi.org/10.1016/j.net.2020.02.001

Published Print: 2020-09

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Utah, M.N.

Jung, J.C.
Funding

Funding for this research was provided by:

KEPCO international Nuclear Graduate School (KINGS), the Republic of Korea
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Text and Data Mining valid from 2020-09-01

Text and Data Mining valid from 2020-09-01

Version of Record valid from 2020-02-07
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This article is maintained by: Elsevier

Article Title: Fault state detection and remaining useful life prediction in AC powered solenoid operated valves based on traditional machine learning and deep neural networks

Journal Title: Nuclear Engineering and Technology

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.net.2020.02.001

Content Type: article

Copyright: © 2020 Korean Nuclear Society, Published by Elsevier Korea LLC.

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