Prognostics and Health Management in Nuclear Power Plants: An Updated Method-Centric Review With Special Focus on Data-Driven Methods
In a carbon-constrained world, future uses of nuclear power technologies can contribute to climate change mitigation as the installed electricity generating capacity and range of applications could be much greater and more diverse than with the current plants. To preserve the nuclear industry compet...
Main Authors: | Xingang Zhao, Junyung Kim, Kyle Warns, Xinyan Wang, Pradeep Ramuhalli, Sacit Cetiner, Hyun Gook Kang, Michael Golay |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-06-01
|
Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2021.696785/full |
Similar Items
-
Editorial: Nuclear Power Plant Equipment Prognostics and Health Management Based on Data-Driven Methods
by: Jun Wang, et al.
Published: (2021-07-01) -
Sensor-Based Degradation Prediction and Prognostics for Remaining Useful Life Estimation: Validation on Experimental Data of Electric Motors
by: Federico Barbieri, et al.
Published: (2015-12-01) -
Methylation-Driven Genes Identified as Novel Prognostic Indicators for Thyroid Carcinoma
by: Liting Lv, et al.
Published: (2020-03-01) -
Maintenance-based prognostics of nuclear plant equipment for long-term operation
by: Zachary Welz, et al.
Published: (2017-08-01) -
Data-Driven Prognostics of the SOFC System Based on Dynamic Neural Network Models
by: Shan-Jen Cheng, et al.
Published: (2021-09-01)