Optimum IMFs Selection Based Envelope Analysis of Bearing Fault Diagnosis in Plunger Pump
Optimum IMFs Selection Based Envelope Analysis of Bearing Fault Diagnosis in Plunger Pump
复制标题
基于包络分析的最优IMF选择柱塞泵轴承故障诊断
DOI：
10.1155/2016/1248626
复制
发表时间：
2016
影响因子：
1.6
通讯作者：
Luo Guofu
中科院分区：
文献类型：
--
作者：
Du Wenliao;Wang Zhiyang;Gong Xiaoyun;Wang Liangwen;Luo Guofu
由于柱塞泵工作在复杂的工作环境中，液压系统具有固有的流固耦合特性，故障信息淹没在噪声和干扰冲击信号中。针对柱塞泵轴承故障诊断问题，提出了一种基于包络分析的最优本征模态函数选择方法。首先对采集到的振动信号进行Wigner-Ville分布计算，得到故障引起的共振频率。其次，对振动信号进行经验模态分解（EMD），并根据Wigner-Ville分布选择最佳IMF和滤波器带宽。最后，对经带通滤波器滤波后的IMF进行包络分析，并与轴承特征频率进行比较，识别出故障类型。针对柱塞泵滚动轴承内圈故障和内圈与滚子复合故障两种故障模式进行了实验研究，取得了较好的效果。
As the plunger pump always works in a complicated environment and the hydraulic cycle has an intrinsic fluid-structure interaction character, the fault information is submerged in the noise and the disturbance impact signals. For the fault diagnosis of the bearings in plunger pump, an optimum intrinsic mode functions (IMFs) selection based envelope analysis was proposed. Firstly, the Wigner-Ville distribution was calculated for the acquired vibration signals, and the resonance frequency brought on by fault was obtained. Secondly, the empirical mode decomposition (EMD) was employed for the vibration signal, and the optimum IMFs and the filter bandwidth were selected according to the Wigner-Ville distribution. Finally, the envelope analysis was utilized for the selected IMFs filtered by the band pass filter, and the fault type was recognized by compared with the bearing character frequencies. For the two modes, inner race fault and compound fault in the inner race and roller of rolling element bearing in plunger pump, the experiments show that a promising result is achieved.
登录
查看更多内容
DOI：
10.1109/isabel.2010.5702895
发表时间：
2010-11
期刊：
2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)
影响因子：
--
作者：
D. Boutana;M. Benidir;B. Barkat
通讯作者：
D. Boutana;M. Benidir;B. Barkat
基于集合经验模态分解和自零空间投影分析的转子轴承系统故障识别
影响因子：
4.7
作者：
Jiang, Fan;Zhu, Zhencai;Chen, Guoan
通讯作者：
Chen, Guoan
DOI：
--
发表时间：
2012
期刊：
Journal of Vibration and Shock
影响因子：
--
作者：
Xie Xiao-liang
通讯作者：
Xie Xiao-liang
影响因子：
1.6
作者：
F. Chaari;W. Bartelmus;R. Zimroz;T. Fakhfakh;M. Haddar
通讯作者：
F. Chaari;W. Bartelmus;R. Zimroz;T. Fakhfakh;M. Haddar
基于局部均值分解和改进自适应多尺度形态学分析的液压泵故障信号解调
影响因子：
8.4
作者：
Jiang, Wanlu;Zheng, Zhi;Li, Yang
通讯作者：
Li, Yang