| 粒子滤波在轴承故障振动信号降噪中的应用 |
| |
| 引用本文： | 刘晓平,郑海起,张训敏.粒子滤波在轴承故障振动信号降噪中的应用[J].轴承,2010(9). |
| |
| 作者姓名： | 刘晓平 郑海起 张训敏 |
| |
| 作者单位： | 1. 军械工程学院,石家庄,050003
2. 济南军区72465部队,济南,250022 |
| |
| 基金项目： | 国家自然科学基金资助项目 |
| |
| 摘 要： | 针对滚动轴承振动信号容易受到较为复杂的随机噪声的污染,提出了基于Rao-blackwellised粒子滤波的振动信号降噪方法。建立了不含噪的振动信号的时变自回归模型,进而转化成对应的状态空间模型,把降噪问题转化成在状态空间模型下的滤波问题,并用仿真信号进行了试验研究,结果表明,该方法具有较好的降噪效果。
|
| 关 键 词： | 滚动轴承 振动信号 粒子滤波 降噪 故障诊断 |
Application of Particle Filter in Rolling Bearing Fault Vibration Signal Denoising |
| |
| LIU Xiao-ping,ZHENG Hai-qi,ZHANG Xun-min.Application of Particle Filter in Rolling Bearing Fault Vibration Signal Denoising[J].Bearing,2010(9). |
| |
| Authors: | LIU Xiao-ping ZHENG Hai-qi ZHANG Xun-min |
| |
| Affiliation: | LIU Xiao-ping1,ZHENG Hai-qi1,ZHANG Xun-min2(1.Ordnance Engineering College,Shijiazhuang 050003,China,2.72465 Units of Jinan Military Region,Jinan 250022,China) |
| |
| Abstract: | Rolling bearing vibration signal is vulnerable to be submerged in complex random noise.A vibration signal denoising method is presented based on Rao-blackwellised particle filtering.TVAR model of the clean vibration signal is established and state the vibration signal in a state-space form.Then the assignment of denoising is treated as a filter problem.Synthetic data and real vibration signal tests are carried out to investigate the effectiveness of the suggested algorithm. |
| |
| Keywords: | rolling bearing vibration signal particle filter denoising fault diagnosis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
