Siamese DNFCVAE: A semi-supervised model for early fault detection of rolling bearings under noisy background

Wenchang Zhu, Yudong Cao, Guquan Wang, Peng Huang, Xiaoli Zhao, Yifei Ding, School of Mechanical Engineering, Southeast University, College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, School of Mechanical Engineering, Nanjing University of Science and Technology, School of Mechanical Engineering, Suzhou University of Technology

Journal of Vibration and Control

Published online on February 08, 2026

Abstract

Journal of Vibration and Control, Ahead of Print.
Early fault detection in rolling bearings is essential for monitoring the condition of industrial equipment. However, detection accuracy is often limited by noise interference and weak fault signals, a semi-supervised method based on a Siamese Denoising ...