Infogram和参数优化CYCBD在滚动轴承复合故障特征分离中的应用

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振动与冲击 ›› 2022, Vol. 41 ›› Issue (10) : 55-65.

论文

刘桂敏1,2，吴建德1,2，李卓睿1,2，李祥1,2

作者信息 +

Application of the Infogram and parameter optimization CYCBD in rolling bearing composite fault feature separation

LIU Guimin1,2，WU Jiande1,2，LI Zhuorui1,2，LI Xiang1,2

Author information +

文章历史 +

摘要

针对滚动轴承复合故障特征难以分离的问题，提出了一种基于Infogram和参数优化最大二阶循环平稳盲解卷积（Maximum second-order cyclostationarity blind deconvolution，CYCBD）的复合故障特征分离方法。首先，采用Infogram方法分析故障信号，选取最优带通滤波器，获得冲击性和循环平稳性最强的频带信号；其次，根据理论故障频率，设定CYCBD的循环频率集，并以包络谱稀疏度为依据，自适应选择CYCBD的滤波器长度；再次，对获得的频带信号进行解卷积运算，提取不同频率的故障冲击成分，实现故障分离；最后，对分离出的各故障成分进行包络解调分析，根据故障特征频率，识别故障类型。通过对仿真信号、西安交大-昇阳科技联合实验室（Xi’an Jiaotong University-Changxing Sumyoung Technology，XJTU-SY）的轴承实验数据分析，证明了所提方法可以有效实现故障特征分离。在此基础上，通过自制实验平台实测数据，进一步论证了该方法的可行性。

Abstract

To solve the problem that it is difficult to separate the composite fault features of rolling bearings, a composite fault feature separation method was proposed based on Infogram and parameter optimization for Maximum second-order cyclostationarity blind deconvolution (CYCBD). Firstly, the Infogram method is adopted to analyze the fault signal and the optimal bandpass filter is selected to obtain the frequency band signal with the strongest impact and cyclic stationarity. Secondly, the cyclic frequency set of CYCBD is set according to the theoretical fault frequency, and the filter length of CYCBD is adaptively selected based on the sparsity of envelope spectrum. Thirdly, deconvolution operation is carried out on the acquired frequency band signals to extract fault shock components of different frequencies to realize fault separation. Finally, the separated fault components are analyzed by envelope demodulation, and the fault types are identified according to the fault characteristic frequency. Through the analysis of simulation signal and bearing experimental data from Xi'an Jiaotong University-Changxing Sumyoung Technology (XJTU-SY), the proposed method is proved to be able to effectively achieve the separation of fault characteristics. On this basis, the effectiveness of the method is further verified by the measured data of the self-made experimental platform.

导出引用

刘桂敏1,2，吴建德1,2，李卓睿1,2，李祥1,2. Infogram和参数优化CYCBD在滚动轴承复合故障特征分离中的应用[J]. 振动与冲击, 2022, 41(10): 55-65

LIU Guimin1,2，WU Jiande1,2，LI Zhuorui1,2，LI Xiang1,2. Application of the Infogram and parameter optimization CYCBD in rolling bearing composite fault feature separation[J]. Journal of Vibration and Shock, 2022, 41(10): 55-65

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