Titlebook: Data-Driven Fault Detection and Reasoning for Industrial Monitoring; Jing Wang,Jinglin Zhou,Xiaolu Chen Book‘‘‘‘‘‘‘‘ 2022 The Editor(s) (i

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Bayesian Causal Network for Discrete Variables,chapters have discussed the fault detection and identification methods. Fault traceability is also an important issue in industrial system. This chapter and Chap. . aim at the fault inference and root tracking based on the probabilistic graphical model. This model explores the internal linkages of s

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Probabilistic Graphical Model for Continuous Variables, the value of probability and cannot be applied to the time series. The model established in Chap. . is a graphical model similar to a Bayesian network, but its parameter learning method can only handle the discrete variables. This chapter aims at the probabilistic graphical model directly for the c

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