Remaining Useful Life Prediction Based on Improved Temporal Convolutional Network for Nuclear Power Plant Valves
Proper risk assessment and monitoring of critical component is crucial to the safe operation of Nuclear Power Plants. One of the ways to ensure real-time monitoring is the development of Prognostics and Health Management systems for safety-critical equipment. Recently, the remaining useful life pred...
Main Authors: | Hang Wang, Minjun Peng, Renyi Xu, Abiodun Ayodeji, Hong Xia |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-11-01
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Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2020.584463/full |
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