Fault diagnosis approach for roller bearings based on the sparse bandwidth mode decomposition under variable speed conditions

被引：0

作者：

Pan H. ^{[1
]}

Zheng J. ^{[1
,2
]}

Tong B. ^{[1
]}

Zhang L. ^{[1
,2
]}

机构：

[1] School of Mechanical Engineering, Anhui University of Technology, Ma'anshan

[2] Institute of Industrial Robots, Ma'anshan Anhui University of Industrial Technology Research Institute, Ma'anshan

来源：

Zheng, Jinde (lqdlzheng@126.com) | 1600年 / Chinese Vibration Engineering Society卷 / 36期

关键词：

Envelope spectrum; Fault diagnosis; Order tracking analysis; Roller bearing; Sparse bandwidth mode decomposition;

D O I：

10.13465/j.cnki.jvs.2017.14.014

中图分类号：

学科分类号：

摘要：

In view of the defect of previous signal processing methods, a new non-stationary signal analysis method, namely, the sparse bandwidth mode decomposition (SBMD) was proposed. The essence of the method is that the signal decomposition is converted into a constrained variational problem, and the signal is decomposed into a set of IMFs by SBMD. In addition, the vibration signals of roller bearings with variable speed usually contain more comprehensive status information, so, the SBMD combined with the order tracking and envelope spectrum analysis is suitable for applying in the fault diagnosis of roller bearings under the working condition of variable speed. The experimental results validate that the approach can handle the variable speed roller bearing fault diagnosis accurately and effectively. © 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.

引用

页码：92 / 97

页数：5