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| 基于TVAR的自适应时频分析及在故障诊断中的应用 | |
| 引用本文： | 王胜春,韩捷,李志农,李剑峰.基于TVAR的自适应时频分析及在故障诊断中的应用[J].轴承,2007(6):28-31. |
| 作者姓名： | 王胜春 韩捷 李志农 李剑峰 |
| 作者单位： | 1. 山东建筑大学,机械工程学院,济南,250101;郑州大学,振动工程研究所,郑州,450002 2. 郑州大学,振动工程研究所,郑州,450002 3. 山东大学,机械工程学院,济南,250061 |
| 基金项目： | 国家自然科学基金;河南省高校杰出科研创新人才工程项目;河南省教育厅自然科学基金 |
| 摘 要： | 研究了非平稳信号的时变自回归（TVAR）建模方法，通过引入基函数将非平稳时变参数的辨识转化为线性时不变问题的辨识；在此基础上，应用带遗忘因子的递归最小二乘算法进行参数估计，实现了信号的自适应时频分析。通过仿真算例将该法与短时Fourier变换、Wigner分布的结果相比较，验证了该方法时频分辨率高的优越性。最后，将该方法应用于轴承的故障诊断，结果表明，该方法用于故障诊断的特征提取是有效的。 |
| 关 键 词： | 滚动轴承 时变自回归模型 参数估计 时频分析 故障诊断 |
| 文章编号： | 1000-3762（2007）06-0028-04 |
| 修稿时间： | 2006-11-152007-01-28 |
Adaptive Time-frequency Analysis Based on TVAR and Its Application in Fault Diagnosis |
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| Wang Sheng-chun,Han Jie,Li Zhi-nong,Li Jian-feng.Adaptive Time-frequency Analysis Based on TVAR and Its Application in Fault Diagnosis[J].Bearing,2007(6):28-31. | |
| Authors: | Wang Sheng-chun Han Jie Li Zhi-nong Li Jian-feng |
| Affiliation: | 1. School of Mechanical Engineering, Shandong Jianzhu University, Jinan 250101 ,China; 2. Research Institute of Vibration Engineering, Zhengzhou University, Zhengzhou 450002, China; 3. School of Mechanical Engineering, Shandong University, Jinan 250061 ,China |
| Abstract: | Time-varying autoregressive(TVAR) modeling of non-stationary signal is studied.In the proposed method,time-varying parametric identification of non-stationary signal can be translated into a linear time-invariant problem by introduced a set of basis functions.Then,the parameters are estimated using recursive least square algorithm with a forgetting factor and adaptive time-frequency analysis is achieved.The simulation results show that the proposed approach is superior to the short time Fourier transform and Wigner distribution.At last,the proposed method is applied to the fault diagnosis of bearings,the experiment result shows the proposed method is effective in feature extraction. |
| Keywords: | rolling bearing tim-evarying autoregrossive modeling parameter estimation time -frequency analysis fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |