Graph-theoretic System Decomposition Based on Modified Cosine-based Similarity
Title
Graph-theoretic System Decomposition Based on Modified Cosine-based Similarity
Subject
Fractionation
Correlation
Oils
Couplings
Correlation coefficient
Chemical processes
graph theory
Input variables
Modified cosine-based similarity
Pearson's correlation coefficient
shell heavy oil fractionation column
Description
A graph-theoretic system decomposition method based on modified cosine-based similarity is proposed to solve the current problem of system decomposition of industrial processes. The correlations between input variables and output variables are analyzed, the initial subgraphs are built according to their weights, and the smallest subgraphs are selected for trial fusion with other subgraphs. The trial fusion result with the largest fusion index is selected as the fusion result, and the termination judgment is made. The system decomposition is more accurate than the graph-theoretic system decomposition with Pearson's correlation coefficient. Finally, the validity is verified by the Shell heavy oil fractionation column.
6237-6242
Publisher
2021 40th Chinese Control Conference (CCC)
Date
2021
Contributor
L. Lu
S. Yang
Y. Zhang
P. Guo
L. Li
Type
conferencePaper
Identifier
1934-1768
10.23919/CCC52363.2021.9549480
Collection
Citation
“Graph-theoretic System Decomposition Based on Modified Cosine-based Similarity,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/23450.