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
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