articleReliability Engineering & System SafetyApr 14, 2025Closed access

Interpretability study of a typical fault diagnosis model for nuclear power plant primary circuit based on a graph neural network

XWXin WangHWHang WangMPMinjun Peng

Harbin Engineering University

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Abstract

No abstract available for this paper.

Citation impact

49
total citations
FWCI
50.13
Percentile
100%
References
29
Citations per year

Authors

3

Topics & keywords

Topics
Keywords
  • Interpretability
  • Artificial neural network
  • Nuclear power plant
  • Reliability engineering
  • Computer science
  • Fault (geology)
  • Graph
  • Artificial intelligence
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