A new model with variable correlation feature and local feature fusion for rotating machinery fault diagnosis

Weimin Zhang, Zhiwei Zhang, Kaiguo Xiong, Long Wen, School of Mechanical Engineering and Electronic Information, China University of Geosciences, Hubei Climate Center, Hubei Meteorological Service, Shenzhen Research Institute, China University of Geosciences

Journal of Vibration and Control

Published online on April 15, 2026

Abstract

Journal of Vibration and Control, Ahead of Print.
Data-driven deep learning techniques have been applied in the field of fault diagnosis. However, most existing deep learning-based fault diagnosis methods require the specification of particular signal data and fixed signal lengths. When dealing with ...