| 基于特征波形稀疏匹配的滚动轴承故障模式识别 |
| |
| 引用本文： | 王国栋,黎敏,阳建宏,徐金梧.基于特征波形稀疏匹配的滚动轴承故障模式识别[J].北京科技大学学报,2010,32(3). |
| |
| 作者姓名： | 王国栋 黎敏 阳建宏 徐金梧 |
| |
| 作者单位： | 北京科技大学机械工程学院,北京,100083 |
| |
| 基金项目： | 国家自然科学基金资助项目(No.50705069;No.50674010;9);;高等学校博士学科点专项科研基金资助项目(No.20No.50905013;No.50934007);;国家高技术研究发展计划资助项目(No.2007AA04Z16070008050;No.20090006120007) |
| |
| 摘 要： | 提出了一种基于特征波形稀疏匹配的滚动轴承故障模式识别方法.该方法通过自行设计的搜索算法从信号中提取多段特征波形,并对其进行学习优化,以优化后的特征波形作为基原子模型生成原子库及模式匹配库.将待识别信号在模式匹配库上进行一阶匹配分析,实现轴承故障的模式识别.对正常轴承、滚动体故障、内圈故障和外圈故障信号进行实验,验证了方法的有效性和鲁棒性.
|
| 关 键 词： | 滚动轴承 点蚀 模式识别 特征波形 |
Fault pattern recognition of rolling bearings based on characteristic waveform sparse matching |
| |
| WANG Guo-dong,LI Min,YANG Jian-hong,XU Jin-wu.Fault pattern recognition of rolling bearings based on characteristic waveform sparse matching[J].Journal of University of Science and Technology Beijing,2010,32(3). |
| |
| Authors: | WANG Guo-dong LI Min YANG Jian-hong XU Jin-wu |
| |
| Abstract: | A method of fault pattern recognition for rolling bearings was proposed on the basis of sparse matching of a characteristic waveform (CW).With a well-designed search algorithm,multi-section CWs were extracted from a vibration signal.A representative CW was obtained by learning from the extracted CWs.Then,the representative CW was acted as an atom model to construct a dictionary and a pattern matching dictionary.Pattern recognition was conducted through one-order matching analysis in the pattern matching dic... |
| |
| Keywords: | rolling bearings pitting pattern recognition characteristic waveform |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
