Research on Fault Diagnosis of Gearbox Based on Acoustic Emission Signal Monitoring

被引：1
|
作者：
Yao, Jun [1 ]
Yin, Xianming [2 ]
Wang, Yinling [2 ]
机构：
[1] Southwest Univ Sci & Technol, Sch Mfg Sci & Engn, Mianyang 621000, Sichuan, Peoples R China
[2] Southwest Univ Sci & Technol, Sch Engn & Tech Cent, Mianyang 621000, Sichuan, Peoples R China
来源：
2019 THE 10TH ASIA CONFERENCE ON MECHANICAL AND AEROSPACE ENGINEERING (ACMAE 2019) | 2020年 / 1510卷
关键词：
D O I：
10.1088/1742-6596/1510/1/012010
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
For the problem of large noise interference in gearbox fault diagnosis and inaccurate time-frequency resolution of analysis signals, a method for analyzing acoustic emission signals using Hilbert-Huang transform method was proposed.Firstly,use the acoustic emission method to collect the fault signal of the gearbox, which reduces the interference of environmental noise.Then perform domain of time analysis on the single, and the time-frequency analysis was performed by short-time Fourier transform, wavelet transform and Hilbert-Huang transform.The results show that the Hilbert-Huang transform method is the best to analyze the acoustic emission signal, and the frequency of the fault can be analyzed accurately, and the time-frequency aggregation is accurate, which verifies the superiority of the method in gear fault diagnosis.
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页数：7
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