Work

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

Year: 2025

Type: article

Abstract: 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.

Source: Friction

DOI: 10.26599/frict.2025.9441080

Authors: Jiaojiao Ma, Jiefei Yu, Xianwen Zhou, Fengshou Gu, Lingli Jiang, Xuejun Li

Institutions: Foshan University, University of Huddersfield

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, State Key Laboratory of Tribology, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G4867579104, G6572535506