Enhanced process monitoring for industrial coking furnace using a dual‐channel pooling and homologous bilinear model‐based convolutional neural network

This paper introduces a process monitoring method using a convolutional neural network (CNN) with dual‐channel pooling and homologous bilinear models (DCP‐HBM). This method aims to enhance the stability of industrial coking furnaces and reduce maintenance costs. It is significantly relevant for addr...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Canadian journal of chemical engineering 2024-08, Vol.102 (8), p.2857-2875
Hauptverfasser:	Hua, Chunle, Cui, Yuancun, Wu, Feng, Zhang, Ridong
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks chemical processes Coking dual‐channel pooling Fault diagnosis Feature extraction Furnaces homologous bilinear model Maintenance costs Modules Monitoring Neural networks process monitoring
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!