The Cubic Dynamic Uncertain Causality Graph: A Methodology for Temporal Process Modeling and Diagnostic Logic Inference
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2953177
Abstract: To meet the demand for dynamic and highly reliable real-time fault diagnosis for complex systems, we extend the dynamic uncertain causality graph (DUCG) by proposing novel temporal causality modeling and reasoning methods. A new methodology,… read more here.
Keywords: uncertain causality; causality graph; methodology; causality ... See more keywords
Model Event/Fault Trees With Dynamic Uncertain Causality Graph for Better Probabilistic Safety Assessment
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2017.2647845
Abstract: Probabilistic safety assessment (PSA) has been widely applied to large complex industrial systems like nuclear power plants, chemical plants, etc. Event trees (ET) and fault trees (FT) are the major tools, but dependences and logic… read more here.
Keywords: safety assessment; uncertain causality; fault trees; dynamic uncertain ... See more keywords
Towards Dynamic Uncertain Causality Graphs for the Intelligent Diagnosis and Treatment of Hepatitis B
Sign Up to like & getrecommendations! Published in 2020 at "Symmetry"
DOI: 10.3390/sym12101690
Abstract: Hepatitis B is a widespread epidemic in the world, but so far no single drug has been shown to kill or eliminate the Hepatitis B virus and heal people with chronic Hepatitis B virus infection.… read more here.
Keywords: uncertain causality; methodology; hepatitis; dynamic uncertain ... See more keywords