LAPSE:2022.0069
Published Article
LAPSE:2022.0069
A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph
Wende Tian, Shifa Zhang, Zhe Cui, Zijian Liu, Shaochen Wang, Ya Zhao, Hao Zou
October 13, 2022
Due to the complexity of materials and energy cycles, the distillation system has numerous working conditions difficult to troubleshoot in time. To address the problem, a novel DMA-SDG fault identification method that combines dynamic mechanism analysis based on process simulation and signed directed graph is proposed for the distillation process. Firstly, dynamic simulation is employed to build a mechanism model to provide the potential relationships between variables. Secondly, sensitivity analysis and dynamic mechanism analysis in process simulation are introduced to the SDG model to improve the completeness of this model based on expert knowledge. Finally, a quantitative analysis based on complex network theory is used to select the most important nodes in SDG model for identifying the severe malfunctions. The application of DMA-SDG method in a benzene-toluene-xylene (BTX) hydrogenation prefractionation system shows sound fault identification performance.
Keywords
distillation process, fault identification, mechanism analysis, SDG model
Suggested Citation
Tian W, Zhang S, Cui Z, Liu Z, Wang S, Zhao Y, Zou H. A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph. (2022). LAPSE:2022.0069
Author Affiliations
Tian W: College of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, China [ORCID]
Zhang S: College of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, China
Cui Z: College of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, China
Liu Z: College of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, China
Wang S: College of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, China
Zhao Y: College of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, China
Zou H: College of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, China
Journal Name
Processes
Volume
9
Issue
2
First Page
229
Year
2021
Publication Date
2021-01-26
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr9020229, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2022.0069
This Record
External Link

doi:10.3390/pr9020229
Publisher Version
Download
Files
[Download 1v1.pdf] (2.9 MB)
Oct 13, 2022
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
159
Version History
[v1] (Original Submission)
Oct 13, 2022
 
Verified by curator on
Oct 13, 2022
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2022.0069
 
Original Submitter
Mina Naeini
Links to Related Works
Directly Related to This Work
Publisher Version