Fault diagnosis of rolling bearing' compound faults based on improved time-frequency spectrum analysis method

被引：0
|
作者：
Wang H. [1 ]
Xiang G. [1 ]
Guo Z. [1 ]
Gong X. [1 ]
Du W. [1 ]
机构：
[1] Mechanical and Electrical Engineering Institute, Zhengzhou University of Light Industry, Zhengzhou
来源：
| 1698年 / Beijing University of Aeronautics and Astronautics (BUAA)卷 / 32期
关键词：
Compound faults; Fault diagnosis; Improved time-frequency spectrum analysis; Rolling bearing; Time-frequency spectrum analysis;
D O I：
10.13224/j.cnki.jasp.2017.07.021
中图分类号：
学科分类号：
摘要：
Based on the theory of cyclostationarity and two orders cyclic statistic for the spectrum correlation (SC) or spectrum correlation density (SCD), a time-frequency analysis method, namely improved spectrum correlation (ISC), was proposed and used in fault feature extraction of rolling bearing' compound fault. Results show that the proposed method can extract the modulated frequency only and has more intuitive advantage than the traditional envelope demodulation spectrum method because the latter extracts the modulated frequency and carrier frequency simultaneously. The feasibility and effectiveness of proposed method are verified through simulation and experiment. © 2017, Editorial Department of Journal of Aerospace Power. All right reserved.
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页码：1698 / 1703
页数：5
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