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Principal component analysis (PCA) is applied for fault detection, identification and reconstruction of sensors in a nuclear power plant (NPP) in this paper. Various methods are combined with PCA method to optimize the model performance. During data preparing, singular points and random fluctuations in the raw data are preprocessed with different methods. During model developing, several criteria...
In this paper, a dynamic ordered concept lattice-based algorithm is developed by building up an ordered concept lattice using the theory of concept lattice, and proposed for early diagnosis of NPP faults. The effectiveness of the proposed algorithm in identifying NPP faults is verified through simulation tests. Test results indicate that, compared with other methods such as BP neural network, the...
Nuclear facilities decommissioning is complex system engineering. Many countries have been studying correlative computer technology and have developed some computer system to support nuclear facilities decommissioning. These systems can be used to quantify radioactive waste, to visualize radioactive inventory, to simulate the dismantling plan, to evaluate workload in radiation environments and to...
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