Fault Diagnosis of Industrial Control System With Graph Attention Network on Multi-view Graph
2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT)(2021)
摘要
In this paper, a fault diagnosis framework for the industrial control systems is proposed based on graph attention networks (GAT). The proposed method models the complex relationship between sensor signals and fuses multivariate sensor signals with relational information. First, to reveal the different relationships between sensor signals, a graph with multi-view is constructed considering the sim...
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关键词
Fault diagnosis,Knowledge engineering,Correlation,Fuses,Industrial control,Learning (artificial intelligence),Feature extraction
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