Information decoupling via comparative filtering: A robust fault diagnosis framework for rotating machinery in high-noise environments

Jin Li, Sijie Liu, Shengxiang Li, Yue Wang, Zijun Cheng, Nan Zhou, Yafeng Wu, School of Power and Energy, Northwestern Polytechnical University, an Shaanxi, Optoelectronics Division, Chinese Flight Test Establishment, an Shaanxi, Strength Testing Department, AVIC Sichuan Gas Turbine Research Institute, Mianyang Sichuan

Journal of Vibration and Control

Published online on December 27, 2025

Abstract

Journal of Vibration and Control, Ahead of Print.
Fault diagnosis of rotating machinery is severely hampered by heavy background noise, which obscures fault signatures and degrades model performance. Conventional deep learning methods attempt to address this by enhancing noise resistance, but they often ...