Fault diagnosis based on convolutional autoencoders combined with multivariate information fusion

Hongchao Wang, Jianwen Jiang, Li Yu, Simin Li, Guoqing Xue, Wenliao Du, Mechanical and Electrical Engineering Institute, Zhengzhou University of Light Industry, ZRIME Gearing Technology Co, Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry

Journal of Vibration and Control

Published online on June 23, 2025

Abstract

Journal of Vibration and Control, Ahead of Print.
A single type of sensor signal cannot fully represent the operational status of mechanical equipment, leading to incomplete state characterization and inaccurate diagnostics. This paper proposes an innovative fault diagnosis method based onConvolutional ...