Multi-Sensor Information Fusion with Multi-Scale Adaptive Graph Convolutional Networks for Abnormal Vibration Diagnosis of Rolling Mill

Multi-Sensor Information Fusion with Multi-Scale Adaptive Graph Convolutional Networks for Abnormal Vibration Diagnosis of Rolling Mill

Graph data and multi-sensor information fusion have been integrated into the abnormal vibration type classification and the identification of the rolling mill for extracting spatial–temporal and robust features. However, most of the existing deep learning (DL) based methods exploit only single senso...

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Bibliographic Details
Main Authors: Rongrong Peng, Changfen Gong, Shuai Zhao
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Machines
Subjects:
rolling mill
abnormal vibration
monitoring and diagnosis
multi-sensor information fusion
multi-scale graph convolutional networks
Online Access:https://www.mdpi.com/2075-1702/13/1/30
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