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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