Causal discovery and fault diagnosis based on mixed data types for system reliability modeling
Abstract Causal relationships play an irreplaceable role in revealing the mechanisms of phenomena and guiding intervention actions. However, due to limitations in existing frameworks regarding model representations and learning algorithms, only a few studies have explored causal discovery on non-Euc...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2025-01-01
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Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01740-5 |
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