Two novel indicators for gear crack diagnosis based on vibration responses: Experiment and simulation

IF 4.5 1区工程技术 Q1 ENGINEERING, MECHANICAL

Mechanism and Machine Theory Pub Date : 2024-12-27 DOI:10.1016/j.mechmachtheory.2024.105905

Zeyu Ma , Xiaojian Zhao , Yuping Wu , Hui Ma , Peng Cao , Hong Guan , Zimeng Liu , Caizi Fan , Jiazan Zhu , Pengyu Yan , Zhike Peng

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引用次数: 0

Abstract

Fatigue crack fault of spur gear is one of the important causes of abnormal vibration and noise in the operation of gear system. Meanwhile, crack fault greatly threatens the operation stability of gear transmission system. To diagnose different crack stages in spur gear transmission systems, experimental studies are conducted to obtain the actual crack propagation paths. Combining with the results of crack growth path obtained by experiment, the dynamic model of spur gear system with crack fault is established considering the process of crack fault evolution in the whole life cycle. The proposed model is verified by comparing the natural frequencies obtained from finite element solid model and experimental results. Based on the simulated vibration responses, two novel indicators for distinguishing the crack propagation stages are proposed. These two indicators have high sensitivity in time domain and frequency domain features. The results are important for fault diagnosis and health monitoring of gear systems.

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来源期刊

Mechanism and Machine Theory 工程技术-工程：机械

CiteScore

9.90

自引率

23.10%

发文量

450

审稿时长

20 days

期刊介绍： Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal. The main topics are: Design Theory and Methodology; Haptics and Human-Machine-Interfaces; Robotics, Mechatronics and Micro-Machines; Mechanisms, Mechanical Transmissions and Machines; Kinematics, Dynamics, and Control of Mechanical Systems; Applications to Bioengineering and Molecular Chemistry