摘要
提出一种基于Hilbert-Huang变换的齿轮裂纹故障诊断的新方法。Hilbert-Huang变换是先把时间序列信号,用经验模态分解方法分解成不同特征时间尺度的固有模态函数,然后经过Hilbert变换获得信号时频分布的一种信号处理新方法,将Hilbert-Huang变换应用于齿轮箱中齿轮故障诊断的研究。齿轮故障实验信号的研究结果表明,Hilbert-Huang变换时频分析方法能有效诊断齿轮的齿根裂纹故障。
A novel application of Hilbert-Huang transform method to fault diagnosis of gear crack is presented. The proposed methodology decomposes the original times series data in intrinsic oscillation modes, using the empirical mode decomposition. Then the Hilbert transform is applied to each intrinsic mode function. Therefore, the time-frequency distribution is obtained. The basic method is introduced in detail. The Hilbert-Huang transform is applied in the research of the faults diagnosis of the gear crack. The experimental results show that Hilbert-Huang transform can effectively diagnosis faults of the gear crack.
出处
《机械强度》
CAS
CSCD
北大核心
2006年第z1期40-43,共4页
Journal of Mechanical Strength
基金
国家自然科学基金资助项目(50375157)~~