| 王思豪,王晓东,李卓睿,马 军,杨潇谊.一种改进的 MP-WVD 滚动轴承信号时频分析方法[J].电子测量与仪器学报,2020,34(12):133-143 |
| 一种改进的 MP-WVD 滚动轴承信号时频分析方法 |
| Improved MP-WVD time-frequency analysis method for rolling bearing signal |
| |
| DOI： |
| 中文关键词: 滚动轴承 时频分析 匹配追踪 魏格纳维利分布 |
| 英文关键词:rolling bearing time-frequency analysis matching pursuit Wigner-Ville distribution (WVD) |
| 基金项目:国家自然科学基金(51765022,61663017)资助项目 |
|
|
| Author | Institution |
| Wang Sihao | 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology,2. Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province |
| Wang Xiaodong | 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology,2. Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province |
| Li Zhuorui | 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology,2. Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province |
| Ma Jun | 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology,2. Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province |
| Yang Xiaoyi | 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology,2. Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province |
|
| 摘要点击次数: 278 |
| 全文下载次数: 307 |
| 中文摘要: |
| 针对魏格纳维利分布(WVD)方法直接对轴承振动信号进行分析时存在交叉干扰项的问题,提出一种基于改进匹配追
踪(matching pursuit,MP)算法与 WVD 的滚动轴承信号时频分析方法。 首先,根据对轴承振动信号的分析,确定 MP 算法中字典
原子的基函数,并通过相关滤波法确定原子参数,完成字典构造。 然后,利用快速傅里叶变换(fast Fourier Transform,FFT)计算
信号与字典中原子的互相关谱,替代 MP 算法中的内积运算,对信号进行稀疏表示,迭代过程中根据残差信号的频谱更新字典
中的频率参数。 最后,对稀疏表示结果中的原子进行 WVD 计算,并以原子对应系数为权重将各原子的时频表示线性叠加,完
成信号的时频分析。 实验结果表明,有效提高了 MP 算法的计算速度,并且与 3 种 WVD 改进算法相比,本文方法时频分析结果
的时频聚集程度更高,可以更好地克服 WVD 方法中的交叉干扰项,为滚动轴承信号的时频分析提供新的解决方法。 |
| 英文摘要: |
| Aiming at the problem of cross interference in the analysis of bearing vibration signals by Wigner-Ville distribution (WVD)
method, a time-frequency analysis method based on improved matching pursuit (MP) algorithm and WVD is proposed. Firstly, based on
the analysis of bearing vibration signal, the basis function of dictionary atoms in the MP algorithm is determined, and atomic parameters
are determined by correlation filtering method to complete the dictionary construction. Then, fast Fourier transform ( FFT) is used to
calculate the cross-correlation spectrum between the signal and the atoms in the dictionary, and instead of the inner product operation in
MP algorithm, the signal has the sparse representation, and the frequency parameters in the dictionary are updated according to the
spectrum of the residual signal during the iteration process. Finally, the atoms in the sparse representation results are calculated by
WVD, and the time-frequency representation of each atom is linear overlapping with the corresponding atomic coefficient as the weight to
complete the time-frequency analysis of the signal. The experimental results show that it effectively improves the computing speed of MP
algorithm, and compared with other three improved WVD algorithms, the time-frequency aggregation degree of the time-frequency
analysis results of this paper method is higher, which can better overcome the cross interference term in the WVD method, and provide
a new solution for the time-frequency analysis of the rolling bearing signal. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
