MED与TQWT相结合的滚动轴承早期故障特征提取

张龙; 易剑昱; 熊国良; 毛志德

doi:10.13433/j.cnki.1003-8728.20200138

MED与TQWT相结合的滚动轴承早期故障特征提取

doi: 10.13433/j.cnki.1003-8728.20200138

华东交通大学机电与车辆工程学院, 南昌 330013

基金项目:

国家自然科学基金项目 51665013

国家自然科学基金项目 51865010

江西省教育厅科学技术研究项目 GJJ200616

江西省研究生创新基金项目 YC2020-S335

详细信息

作者简介:
张龙(1980-), 副教授, 博士, 研究方向为工程信号处理与智能算法及其在机械故障诊断中的应用, longzh@ecjtu.edu.cn

中图分类号: TH133.3
计量
- 文章访问数: 184
- HTML全文浏览量: 109
- PDF下载量: 30
- 被引次数: 0
出版历程
- 收稿日期: 2019-07-31
- 刊出日期: 2021-06-01

Incipient Fault Feature Extraction for Rolling Bearings Combined with MED and TQWT

School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China

摘要

摘要: 针对滚动轴承早期故障冲击特征微弱且故障信息难以识别的问题, 提出了一种最小熵解卷积(MED)与可调品质因子小波变换(TQWT)相结合的滚动轴承早期故障冲击特征提取方法。由于(MED)能够突出信号中的冲击特征成分, 首先对振动信号进行MED预处理, 使受到传输路径影响的微弱冲击成分得到一定程度的增强。再利用TQWT对预处理后的信号进行分解重构, 得到若干个子带信号。对比不同品质因子Q下的各子带信号峭度值, 根据峭度最大原则确定子带中的最佳分量并对其进行包络谱分析, 从而根据轴承故障特征频率确定轴承健康状态。仿真信号验证了所提方法的有效性, 实验信号表明了该方法在轴承早期故障诊断中具有一定的优势。
- 滚动轴承 /
- MED /
- TQWT /
- 特征提取 /
- 早期故障 /
- 仿真试验
Abstract: Aiming at the weak impact features in the incipient stage of rolling bearing faults and the difficulty in fault-related information extraction, a novel approach is proposed by a joint use of minimum entropy deconvolution (MED) and tunable Q-factor wavelet transform (TQWT) to identify bearing faults at their early stage. First, vibration signals are passed through MED to relieve the affection of transmission path by which fault-induced impacts are conveyed to sensors, resulting in a preliminary enhancement of impact signatures. Then, the preliminary enhanced signals are further processed by TQWT assigned with various Q values to make fault information more evident. Among the resultant sub-band signals from TQWT, the one with maximum kurtosis is chose for envelop spectrum analysis. The predominant peaks in envelop spectral are compared with bearing characteristic frequencies computed from the rotating speed and geometrics dimensions of bearings so as to determine their health conditions. Results on simulated signal of inner race fault verified the effectiveness of the proposed method, and the ones on bearing run-to-failure data demonstrated its advantages in the incipient fault diagnosis of bearings.
- rolling bearing /
- MED /
- TQWT /
- feature extraction /
- incipient fault /
- simulation test

HTML全文

图 1 双通道滤波器组

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图 2 TQWT频率响应

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图 3 本文所提方法流程图

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图 4 内圈故障仿真信号

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图 5 本文所提方法分析结果

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图 6 轴承疲劳试验台结构简图

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图 7 疲劳试验全寿命周期R_ms演化

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图 8 第534组数据时域波形及其包络谱

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图 9 No.534本文方法分析结果

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图 10 No.534 TQWT分析

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图 11 No.534小波分析结果

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