正式通知 发表于 2025-3-23 11:45:37

http://reply.papertrans.cn/27/2633/263294/263294_11.png

libertine 发表于 2025-3-23 15:46:43

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

他去就结束 发表于 2025-3-23 21:43:34

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

造反,叛乱 发表于 2025-3-24 01:32:49

http://reply.papertrans.cn/27/2633/263294/263294_14.png

Fulminate 发表于 2025-3-24 03:53:38

http://reply.papertrans.cn/27/2633/263294/263294_15.png

暂时中止 发表于 2025-3-24 07:41:05

http://reply.papertrans.cn/27/2633/263294/263294_16.png

Communicate 发表于 2025-3-24 14:24:22

http://reply.papertrans.cn/27/2633/263294/263294_17.png

沉积物 发表于 2025-3-24 15:33:05

http://reply.papertrans.cn/27/2633/263294/263294_18.png

墙壁 发表于 2025-3-24 22:32:36

http://reply.papertrans.cn/27/2633/263294/263294_19.png

狂怒 发表于 2025-3-25 00:00:38

http://reply.papertrans.cn/27/2633/263294/263294_20.png
页: 1 [2] 3 4 5 6
查看完整版本: Titlebook: Data-Driven Fault Detection and Reasoning for Industrial Monitoring; Jing Wang,Jinglin Zhou,Xiaolu Chen Book‘‘‘‘‘‘‘‘ 2022 The Editor(s) (i