期刊文献+

鲁棒性幅值指数自适应谱幅值调制法 被引量:2

Robust Amplitude Exponential Adaptive Method for Spectral Amplitude Modulation
下载PDF
导出
摘要 近期提出的谱幅值调制(SAM)法可通过调节幅值指数适应不同故障信号的特征提取,具有较好的应用前景。但该方法目前幅值指数的取值需人工判断,尚无法用其实现对故障特征的自动优化提取,且当故障特征受到复杂干扰时,通过人工选择较难选取较佳的幅值指数。为此,本文研究提出了一种鲁棒性幅值指数自适应谱幅值调制法。该方法首先利用角域重采样将信号转换到角域,再通过多点最优最小熵解卷积(MOMEDA)对故障弱冲击特征进行增强,最后利用2阶循环平稳指标(ICS 2)自适应选取SAM中的倒谱幅值指数,以该优化幅值指数计算倒谱信号,实现故障特征的自动提取。在行星轴承内圈故障特征提取上进行了验证研究,实验结果表明,本文所提方法能够实现复杂干扰下行星轴承内圈故障特征的自适应提取。 The spectrum amplitude modulation(SAM)method,which was proposed recently,can be used to do the feature extraction of different fault signals by adjusting the exponential of amplitude adaptively,and it has a quite good practical perspective.However,the exponential of amplitude of this method still needs to be judged manually,which leads to the result that it can not be used to extract the fault features automatically.Moreover,when the fault features are interfered by complex disturbances,it is difficult to select the optimal exponential of amplitude manually.Therefore,a robust amplitude exponential adaptive spectral amplitude modulation method is proposed in this paper.Firstly,the signal is converted to angular domain by angle domain resampling,and then the shock characteristics generated by the faulty planet bearing are enhanced by the multipoint optimal minimum entropy deconvolution adjusted(MOMEDA).Finally,the exponential of cepstrum amplitude in SAM is adaptively selected with ICS 2(indicator of second order cyclostationary).The cepstrum signal is calculated by the optimal exponential of amplitude,in this way,the problem that the SAM method cannot automatically extract fault features is solved.The fault feature extraction of inner race of planetary bearing is verified.Experimental results show that the proposed method can adaptively extract fault features of inner race of planetary bearing under complex interference.
作者 林云 郭瑜 刘珍 LIN Yun;GUO Yu;LIU Zhen(Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming 650500,China)
出处 《机械科学与技术》 CSCD 北大核心 2023年第1期53-58,共6页 Mechanical Science and Technology for Aerospace Engineering
基金 国家自然科学基金项目(51675251)。
关键词 谱幅值调制 鲁棒性 自适应 2阶循环平稳指标 行星轴承 spectral amplitude modulation robustness adaptation second order cyclostationary index planetary bearing
  • 相关文献

参考文献7

二级参考文献52

  • 1章立军,杨德斌,徐金梧,陈志新.基于数学形态滤波的齿轮故障特征提取方法[J].机械工程学报,2007,43(2):71-75. 被引量:75
  • 2RANDALL R B, ANTONI J. Rolling element bearing diagnostics-a tutorial[J]. Mechanical Systems and Signal Processing, 2011, 25: 485-520.
  • 3RANDALL R B, SAWALHI N. A new method for separating discrete components from a signal[J]. Journal of Sound &Vibration, 2011, 5: 6-9.
  • 4SAWALHI N, RANDALL R B. Signal pre-whitening using cepstrum editing (liftering) to enhance fault detection in rolling element bearings[C]//Proceedings of the 24 International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM2011), May 30-June 1, Stavanger. Kolkata: Publishing Services PL, 2011: 330-336.
  • 5HU Niaoqing, CHEN Min, WEN Xisen. The application of stochastic resonance theory for early detecting rub-impact fault of rotor system[J]. Mechanical Systems and Signal Processing, 2003, 17(4): 883-895.
  • 6YANG Dingxin, HU Niaoqing. Detection of weak aperiodic signal based on stochastic resonance[C]// Proceedings of Third International Symposium on Instrument Science and Technology, August 18-22, Xi'an, China. Harbin: Harbin Institute of Technology Press, 2004: 210-213.
  • 7CHILDERS D G, SKINNER D P, KEMERAIT R C. The Cepstrum: A guide to processing[J]. Proceedings of the IEEE, 1977, 65(10): 1428-1443.
  • 8何正嘉,訾艳阳,陈雪峰,王晓冬.内积变换原理与机械故障诊断[J].振动工程学报,2007,20(5):528-533. 被引量:27
  • 9Yan Ru-qiang, Gao R X. Harmonic wavelet-based data filtering for enhanced machine defect identification [ J ]. Journal of Sound and Vibration, 2010, 329 ( 15 ) : 3203 - 3217.
  • 10WANG Dong, GUO Wei, WANG Xiao-juan. A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi- component signal mixture [ J ]. Applied Soft Computing, 2013, 13(10) :4097 -4104.

共引文献67

同被引文献21

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部