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Twin model-based fault detection and tolerance approach for in-core self-powered neutron detectors
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Fault Tolerant Control of a Nuclear Steam Generator in the presence of Sensor Biases
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Fuzzy methodology applied to Probabilistic Safety Assessment for digital system in nuclear power plants
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Estimation of sensor measurement errors in reactor coolant systems using multi-sensor fusion
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Sensor Data and Information Fusion to Construct Digital-twins Virtual Machine Tools for Cyber-physical Manufacturing
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Data-Enabled Physics-Informed Machine Learning for Reduced-Order Modeling Digital Twin: Application to Nuclear Reactor Physics
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Cluster statistics based normalization for online fault diagnosis of self-powered neutron detectors
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Fault detection and isolation for multi-type sensors in nuclear power plants via a knowledge-guided spatial–temporal model
inferred← citeshttps://doi.org/10.1016/j.net.2026.104518openalex-snapshot
Quantitative analysis of signal response components in self-powered neutron detectors under in-core mixed neutron-gamma irradiation fields
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Review of self-powered neutron detectors for reactor instrumentation
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A study on the long-term variation of signal current in rhodium self-powered neutron detectors under in-core burnup conditions
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ST-SAM: Spatial-Temporal State Adaptation Model for Neutron Detector Fault Detection and Isolation in Nuclear Power Plants
inferred← citeshttps://doi.org/10.1109/tim.2025.3545728openalex-snapshot
Fault Detection for Ex-Core Neutron Detectors in Nuclear Power Plants Using Global-Fused Dynamic Detection Model
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