scholarly journals Data-knowledge-driven distributed monitoring for large-scale processes based on digraph

2022 ◽  
Vol 109 ◽  
pp. 60-73
Author(s):  
Weiqiang Wu ◽  
Chunyue Song ◽  
Jun Liu ◽  
Jun Zhao
2015 ◽  
Vol 779 ◽  
pp. 163-168
Author(s):  
Gui You Hao ◽  
Jie Cheng ◽  
Zong Gui Zheng ◽  
Zhi Gang Yu ◽  
Gang Wu

In this paper, a distributed monitoring and intelligent diagnosis system is designed for large-scale electro-hydraulic devices, based on the utilization of information fusion technology. As a result of using multi-sensor data level, feature level and decision-making level information fusion methods, both precision and real-time performance of condition monitoring and fault diagnosis have been greatly improved, which leads to an advance in the accuracy of monitoring and diagnosis.


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