Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Xin-qiu Zhou"'
A multi-layer approach to DN 50 electric valve fault diagnosis using shallow-deep intelligent models
Publikováno v:
Nuclear Engineering and Technology, Vol 53, Iss 1, Pp 148-163 (2021)
Timely fault identification is important for safe and reliable operation of the electric valve system. Many research works have utilized different data-driven approach for fault diagnosis in complex systems. However, they do not consider specific cha
Externí odkaz:
https://doaj.org/article/ec5033ab2f0846189e61c0d249c04292
A multi-layer approach to DN 50 electric valve fault diagnosis using shallow-deep intelligent models
Publikováno v:
Nuclear Engineering and Technology, Vol 53, Iss 1, Pp 148-163 (2021)
Timely fault identification is important for safe and reliable operation of the electric valve system. Many research works have utilized different data-driven approach for fault diagnosis in complex systems. However, they do not consider specific cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec169fdf347ee5f4dd5dff2ce208e7b1
https://doi.org/10.1016/j.net.2020.07.001
https://doi.org/10.1016/j.net.2020.07.001
Publikováno v:
2019 IEEE 5th International Conference on Computer and Communications (ICCC).
To achieve the balance of plant, industrial valves are extensively used for critical safety and control functions. Conventionally, the threshold and the visual observation method are used for valve health monitoring. However, these methods are slow.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0c89279ffc510d7c25f3cfd59233d5a
https://doi.org/10.1109/iccc47050.2019.9064354
https://doi.org/10.1109/iccc47050.2019.9064354