Author(s)

Yuan Zhu ¹

Affiliation(s)

¹ Faculty of Business Administation, Henan Polytechnic University, Shijidadao Street, ShanyangTown, Jiaozuo, China

Corresponding Author

Yuan Zhu

ABSTRACT

In order to ensure the safe production of chemical handicrafts, it is necessary to monitor the process variables of the chemical system in order to deal with the failures. In order to improve the accuracy and accuracy of the monitoring process, the whole process is modeled to find out the key variables that cause the fault, and at the same time, the impact of the key variables in the system is analyzed to find out the propagation path of the key variables. Based on the complex network theory, the fault node set is obtained by combining the measured data with the horizontal visibility map; At the same time, the fault propagation complex network is constructed, and the fault propagation source node is identified according to the topology characteristics of the complex network. A traceback algorithm is proposed to determine the propagation path of the source node; The importance ranking (IR) is used to quantify the impact of the propagation path on the system and focus on monitoring the key nodes in the path. By taking the Tennessee Eastman process as the verification object, the results show that the method can identify the occurrence of the fault and control the propagation path of the fault, which proves the effectiveness of the method.

KEYWORDS

Data-driven, complex network, fault diagnosis, propagation path tracing, tennessee Eastman process (TE)

CITE THIS PAPER

Yuan Zhu, Fault Diagnosis and Fault Propagation Traceability of Chemical Process Based on Complex Network Method. Industrial Engineering and Innovation Management (2023) Vol. 6: 28-37. DOI: http://dx.doi.org/10.23977/ieim.2023.060105.

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