Condition monitoring of journal bearings based on acoustic emissions: A state-of-the-art review

作者：Jiaojiao Ma, J. S. Yu, Xianwen Zhou, Fengshou Gu, Lingli Jiang, Xuejun Li · 发表于：Friction · 年份：2025 · DOI：10.26599/frict.2025.9441080 · 被引用次数：6 · 研究领域：Tribology and Lubrication Engineering、Mechanical stress and fatigue analysis、Engineering Applied Research

This paper provides a thorough review of the advancements in acoustic emission (AE) technology used for monitoring journal bearings. Firstly, the AE sources generated from journal bearings under different lubrication regimes are classified and discussed. Subsequently, a comparative analysis of parametric analysis methods, waveform methods, and artificial intelligence recognition methods for the bearing AE signal analysis is conducted, highlighting their respective principles, pros and cons, and applications. Additionally, an overview of physical models representing AE waves on relatively sliding surfaces is provided from the wave generation mechanism perspective, and each model's applicable conditions are compared. Finally, an in-depth discussion is presented, and future research directions are highlighted.