节点文献
基于希尔伯特变换和小波包节点能量法的齿轮箱故障诊断研究
Gearbox Fault Detection Research Using Hilbert and Wavelet Packet Node Energy Method
【摘要】 故障齿轮箱的振动信号中可能包含周期性的振幅和相位调制信号,在齿轮箱故障诊断中,解调成为一个重要的问题。在分析了齿轮振动信号的基础上,提出了一种基于希尔伯特变换和小波包节点能量法的故障诊断方法。通过一个包含调幅调相信息的仿真信号进行了验证,结果表明该方法能够有效提取调制信号,比使用小波包变换更有效。
【Abstract】 The vibration signal of fault gearbox may contain periodic amplitude and phase modulation signal,so in gearbox fault diagnosis,demodulation is a major problem.Based on the analysis of gear vibration signal,proposed a fault diagnosis method which is based on hilbert transform and wavelet packet node energy method.A simulation signal which contains amplitude phase-modulation is used to verify the method,the results indicate this method can effectively extract modulation signal,and it is more effective than only use wavelet packet transform.
【关键词】 齿轮箱;
解调;
希尔伯特变换;
小波包节点能量法;
故障诊断;
【Key words】 gearbox; demodulation; hilbert transform; wavelet packet node energy method; fault diagnosis;
【Key words】 gearbox; demodulation; hilbert transform; wavelet packet node energy method; fault diagnosis;
- 【文献出处】 煤矿机械 ,Coal Mine Machinery , 编辑部邮箱 ,2010年05期
- 【分类号】TH132.41;TH165.3
- 【被引频次】4
- 【下载频次】258