Early Fault Detection in Nuclear Systems: A Digital Engineering Approach
Nuclear energy systems present unique challenges in terms of ensuring safety, reliability, and efficiency during their design and operation. Early fault detection is critical for mitigating risks and fostering system resilience. However, current methods often fall short at identifying faults during...
Saved in:
| Main Authors: | Maria Coelho, Kaleb Houck, Logan Browning, Piyush Sabharwall, Christopher Folmar, Jack Cavaluzzi, Patrick McClure, Jack Dunker |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of Systems Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10980436/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Categorization of Digital Twin and Model-Based System Engineering Interactions
by: Alexandre Crepory Abbott de Oliveira, et al.
Published: (2025-05-01) -
Evaluating the Benefits and Drawbacks of Visualizing Systems Modeling Language (SysML) Diagrams in the 3D Virtual Reality Environment
by: Mostafa Lutfi, et al.
Published: (2025-03-01) -
Digital Twin’s Anatomy: A Cross-Sector Framework With Healthcare Validation
by: Sina Namaki Araghi, et al.
Published: (2025-01-01) -
Enhancing consumer sensory science approach through augmented virtuality
by: Abdul Hannan Bin Zulkarnain, et al.
Published: (2024-01-01) -
Enhancing Education in Agriculture via XR-Based Digital Twins: A Novel Approach for the Next Generation
by: Orestis Spyrou, et al.
Published: (2025-03-01)