改进TFCA方法的滚动轴承故障AE信号特征提取

于洋; 李赟; 杨平; 唐金; 赵鑫; 梁哲铭

doi:10.13224/j.cnki.jasp.20220318

改进TFCA方法的滚动轴承故障AE信号特征提取

doi: 10.13224/j.cnki.jasp.20220318

于洋^1,,
李赟^1,*, ,,
杨平¹,
唐金²,
赵鑫²,
梁哲铭³

1.
沈阳工业大学信息科学与工程学院，沈阳 110870
2.
中国航发湖南动力机械研究所，湖南株洲 412002
3.
中国航空工业集团有限公司沈阳飞机设计研究所，沈阳 110035

基金项目: 中国航空发动机集团应用创新项目（630010504）；辽宁省教育厅重点攻关项目（LZGD2019005）

详细信息

作者简介:
于洋（1967-），女，教授、博士生导师，博士，主要从事装备故障监测与健康管理研究。E-mail：yuy@sut.edu.cn

通讯作者:
李赟（1993-），男，博士生，主要从事机械装备故障诊断研究。E-mail：1786308837@qq.com

中图分类号: V263.6；TH133.33
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- 文章访问数: 325
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- 被引次数: 0
出版历程
- 收稿日期: 2022-05-09
- 网络出版日期: 2024-08-15

Feature extraction of AE signal for rolling bearing fault by improved TFCA method

YU Yang^1
,,
LI Yun^{1,*
, ,},
YANG Ping¹,
TANG Jin²,
ZHAO Xin²,
LIANG Zheming³

1.
School of Information Science and Engineering，Shenyang University of Technology，Shenyang 110870，China
2.
Hunan Aviation Powerplant Research Institute，Aero Engine Corporation of China，Zhuzhou Hunan 412002，China
3.
Shenyang Aircraft Design and Research Institute，Aviation Industry Corporation of China，Limited，Shenyang 110035，China

摘要

摘要:
针对时频相干方法（time-frequency coherence analysis，TFCA）不能分析单通道信号的问题，提出了一种新的时频相干方法，通过平均估计算子实现对单通道信号分析。利用软岛全息声发射系统和旋转机械模拟平台进行了滚动轴承内圈、外圈故障声发射（acoustic emission，AE）检测，研究了低信噪比条件下滚动轴承故障特征周期提取。将所提方法与传统时频相干、短时傅里叶变换、小波相干方法进行对比研究，并进行实验验证。仿真和实验结果表明：所提方法明显优于其他时频方法，时频聚集性高、抗噪性能强，并能准确提取轴承故障周期特征。
- 声发射 /
- 时频相干 /
- 低信噪比 /
- 滚动轴承 /
- 单通道
Abstract:
In order to solve the problem of traditional time-frequency coherence analysis (TFCA) method's failure to analyze the single-channel signal, a new time-frequency coherence method was proposed. The new method can analyze the single-channel signal through the average estimation operator. The soft-land full-information acoustic emission (AE) system and the rotating machinery simulation platform were used to detect the inner ring and outer ring faults of the rolling bearing. The study focused on the extraction of fault characteristic periods of rolling bearings under conditions of low signal-to-noise ratio. The proposed method was compared with the traditional time-frequency coherence, short-time Fourier transform, wavelet coherence methods, and was verified experimentally. The simulated and experimental results showed that the proposed method is superior to other time-frequency methods. The proposed method can accurately extract the period characteristics of fault signal, and exhibit high time-frequency aggregation and strong anti-noise performance.
- acoustic emission /
- time-frequency coherence /
- low signal-to-noise ratio /
- rolling bearing /
- single channel

HTML

图 1 仿真轴承故障时域图

Figure 1. Time domain diagram of simulated bearing faults

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图 2 仿真轴承故障频域图

Figure 2. Frequency domain diagram of simulated bearing faults

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图 3 仿真轴承故障时域图（信噪比为−15 dB）

Figure 3. Time domain waveform of fault bearing simulation signal （signal-to-noise ratio is −15 dB）

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图 4 仿真轴承故障频域图（信噪比为−15 dB）

Figure 4. Frequency domain waveform of fault bearing simulation signal （signal-to-noise ratio is −15 dB）

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图 5 传统时频相干方法

Figure 5. Traditional time-frequency coherent method

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图 6 本文方法（无噪）

Figure 6. New method （no noise）

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图 7 本文方法（信噪比为−15 dB）

Figure 7. New method （signal-to-noise ratio is −15 dB）

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图 8 短时傅里叶变换

Figure 8. Short-time Fourier transform

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图 9 小波相干方法

Figure 9. Wavelet coherence method

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图 10 实验平台

Figure 10. Experimental platform

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图 11 采集仪与测试圆柱滚子轴承

Figure 11. Acquisition instrument and testing cylindrical roller bearings

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图 12 圆柱滚子轴承外圈故障时域图和频谱图

Figure 12. Time domain diagram and spectrum of outer ring of cylindrical roller bearing

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图 13 圆柱滚子轴承外圈故障时频分布图

Figure 13. Time-frequency distribution diagram of outer ring faults in cylindrical roller bearing

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图 14 圆柱滚子轴承内圈故障时域图和频谱图

Figure 14. Time domain diagram and spectrum of inner ring of cylindrical roller bearing

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图 15 圆柱滚子轴承内圈故障时频分布图

Figure 15. Time-frequency distribution diagram of inner ring faults in cylindrical roller bearing

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图 16 圆柱滚子轴承外圈故障时域图和本文方法时频分布图（R=900 r/min）

Figure 16. Time domain diagram and time-frequency distribution diagram of outer ring faults in cylindrical roller bearing （R=900 r/min）

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图 17 圆柱滚子轴承外圈故障时域图和本文方法时频分布图（R=1200 r/min）

Figure 17. Time domain diagram and time-frequency distribution diagram of outer ring faults in cylindrical roller bearing （R=1200 r/min）

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图 18 圆柱滚子轴承内圈故障时域图和时频分布图（R=900 r/min）

Figure 18. Time domain diagram and time-frequency distribution diagram of inner ring faults in cylindrical roller bearing （R=900 r/min）

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图 19 圆柱滚子轴承内圈故障时域图和时频分布图（R=1200 r/min）

Figure 19. Time domain diagram and time-frequency distribution diagram of inner ring faults in cylindrical roller bearing （R=1200 r/min）

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表 1 时频聚集度表

Table 1. Time-frequency aggregation table

不同方法 Rényi熵值

传统时频相干方法 1.01
本文方法 0.94
短时傅里叶变换 2.10
小波相干 0.93

下载: 导出CSV

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