An intelligent fault detection method for PWR-type nuclear power plants using neuro-encoder binary cells
In this study, a comprehensive model has been presented which is capable of fault detection and classification in the feed water heaters system of a pressurized water reactor nuclear power plant. Along with the known faults detection, this model is also capable of detecting and segregating unknown f...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-11-01
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| Series: | Nuclear Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573325003031 |
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