WebMay 6, 2024 · A dynamic uncertain causality graph (DUCG) is a probabilistic graphical model for knowledge representation and reasoning, which has been widely used in many areas, such as probabilistic safety assessment, medical diagnosis, and fault diagnosis. However, the convention DUCG model fails to model experts’ knowledge precisely … WebAs a technical development, the dynamic uncertain causality graph (DUCG) method which deals with the causal link between uncertain information with graphical expression and probability measurement is proposed (Zhang et al., 2014; Zhang, 2015a ). DUCG is a probabilistic graphical model which intuitively expresses a causal relationship among ...
An Industrial Fault Diagnostic System Based on a Cubic Dynamic ...
WebJan 9, 2012 · Developed from the dynamic causality diagram (DCD) model, a new approach for knowledge representation and reasoning named as dynamic uncertain causality graph (DUCG) is presented, which focuses on the compact representation of complex uncertain causalities and efficient probabilistic inference. It is pointed out that … WebMay 6, 2024 · A dynamic uncertain causality graph (DUCG) is a probabilistic graphical model for knowledge representation and reasoning, which has been widely used in many areas, such as probabilistic safety assessment, medical diagnosis, and fault diagnosis. However, the convention DUCG model fails to model experts’ knowledge precisely … dwarf cast in the hobbit
Clinical Assistant Diagnosis for Electronic Medical Record ... - Nature
WebApr 29, 2015 · Abstract: Intelligent systems for online fault diagnoses can increase the reliability, safety, and availability of large and complex systems. As an intelligent system, Dynamic Uncertain Causality Graph (DUCG) is a newly presented approach to graphically and compactly represent complex uncertain causalities, and perform probabilistic … WebA dynamic uncertain causality graph-based differential diagnosis model for BPPV including 354 variables and 885 causality arcs is constructed. New algorithms are also proposed for differential diagnosis through logical and probabilistic inference, with an emphasis on solving the problems of intricate and confounding disease factors, … WebMay 20, 2024 · The cubic dynamic uncertain causal graph was proposed for graphically modeling and reasoning about the fault spreading behaviors in the form of causal dependencies across multivariate time series. However, in certain large-scale scenarios with multiconnected and time-varying causalities, the existing inference algorithm is incapable … dwarf catalpa trees for sale