A New Inference Algorithm of Dynamic Uncertain Causality Graph Based on Conditional Sampling Method for Complex Cases

A New Inference Algorithm of Dynamic Uncertain Causality Graph Based on Conditional Sampling Method for Complex Cases

Dynamic Uncertain Causality Graph (DUCG) is a recently developed model for fault diagnoses of industrial systems and general clinical diagnoses. In some cases, however, when state-unknown intermediate variables are many, the variable state combination explosion may appear and result in the inefficie...

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Bibliographic Details
Main Authors: Hao Nie, Qin Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Monte Carlo methods
sampling methods
inference algorithms
clinical diagnosis
fault diagnosis
Online Access:https://ieeexplore.ieee.org/document/9466853/

Internet

https://ieeexplore.ieee.org/document/9466853/

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