2023
DOI: 10.54097/fcis.v3i3.8578
|View full text |Cite
|
Sign up to set email alerts
|

Diagnostic Study of MBR Membrane Fouling based on CA-ResNet18

Jingxiao Zeng

Abstract: In this paper, we propose a diagnostic model for addressing difficult-to-diagnose factors that influence membrane fouling, using a residual neural network (ResNet) optimized with a coordinate attention mechanism. After pre-processing fouling data from the membrane bioreactor using Principal Component Analysis (PCA) to derive nine categories of fouling factors, we determined the residual neural network structure and optimized it using the Coordinate Attention Mechanism (CA) to enhance feature extraction, improv… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 20 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?