EDITORIAL
Published on 12 Jul 2021
Editorial: Nuclear Power Plant Equipment Prognostics and Health Management Based on Data-Driven Methods
doi 10.3389/fenrg.2021.719245
- 1,317 views
- Frontiers in Energy Research
- Nuclear Energy
- Research Topics
- Nuclear Power Plant Equipment Prognostics and Health Management Based on Data-driven methods
Nuclear Power Plant Equipment Prognostics and Health Management Based on Data-driven methods
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Articles
ORIGINAL RESEARCH
Published on 01 Jul 2021
Distributed Fault Diagnosis Framework for Nuclear Power Plants
doi 10.3389/fenrg.2021.665502
- 2,305 views
- 5 citations
REVIEW
Published on 15 Jun 2021
Prognostics and Health Management in Nuclear Power Plants: An Updated Method-Centric Review With Special Focus on Data-Driven Methods
doi 10.3389/fenrg.2021.696785
- 10,852 views
- 42 citations
ORIGINAL RESEARCH
Published on 12 May 2021
Data-Driven Machine Learning for Fault Detection and Diagnosis in Nuclear Power Plants: A Review
doi 10.3389/fenrg.2021.663296
- 8,153 views
- 59 citations
ORIGINAL RESEARCH
Published on 10 May 2021
Diagnosis and Prediction for Loss of Coolant Accidents in Nuclear Power Plants Using Deep Learning Methods
doi 10.3389/fenrg.2021.665262
- 4,201 views
- 32 citations
ORIGINAL RESEARCH
Published on 17 Mar 2021
A Framework for Monitoring and Fault Diagnosis in Nuclear Power Plants Based on Signed Directed Graph Methods
doi 10.3389/fenrg.2021.641545
- 2,167 views
- 11 citations
METHODS
Published on 05 Mar 2021
A Method of Containment Leakage Rate Estimation Based on Convolution Neural Network
doi 10.3389/fenrg.2021.637283
- 2,685 views
- 4 citations
ORIGINAL RESEARCH
Published on 12 Feb 2021
Data-Driven-Based Forecasting of Two-Phase Flow Parameters in Rectangular Channel
doi 10.3389/fenrg.2021.641661
- 1,454 views
- 5 citations
ORIGINAL RESEARCH
Published on 09 Feb 2021
Development and Validation of Multiscale Coupled Thermal-Hydraulic Code Combining RELAP5 and Fluent Code
doi 10.3389/fenrg.2020.613852
- 1,685 views
- 3 citations
ORIGINAL RESEARCH
Published on 29 Jan 2021
Study on Measure Approach of Void Fraction in Narrow Channel Based on Fully Convolutional Neural Network
doi 10.3389/fenrg.2021.636813
- 2,420 views
- 1 citation
ORIGINAL RESEARCH
Published on 27 Nov 2020
Research on Time-Dependent Component Importance Measures Considering State Duration and Common Cause Failure
doi 10.3389/fenrg.2020.584750
- 1,667 views
- 1 citation
ORIGINAL RESEARCH
Published on 06 Nov 2020
Remaining Useful Life Prediction Based on Improved Temporal Convolutional Network for Nuclear Power Plant Valves
doi 10.3389/fenrg.2020.584463
- 8,611 views
- 28 citations
Published in
Frontiers in Energy Research
- Nuclear Energy
Impact
- 61kTopic views
- 47kArticle views
- 12kArticle downloads