关键词: 化工流程, SDG, 复杂网络, 故障诊断

Abstract: Chemical process systems are large scale and complex. It was limited to describe the fault only through conventional model. This paper based on the SDG(signed directed graph)fault model which constructed with flow modeling method and made the chemical process system abstract the network topology. We described the network model statistical characteristics and judged the network characteristic of complexity, small world and scale-free. The centrality theory was used to quantitatively calculate the importance of each node in the network. Then, those indexes compared to determine the core node in the network, as well as the community with the Capocci algorithm for network structure quantitatively. Finally, we used the core node of the network to determine the chemical process key variables that easy to cause safety accidents. The result of the community partition maps out the protected path for the chemical fault model. The key monitoring area was identified. Results showed that the proposed method can find the fault nodes of chemical process system and the place that need to be monitored and controlled, which can then be used as a support in fault diagnosis and preventive controls.

Key words: chemical process, signed directed graph, complex network, fault diagnosis