| 一种滚动轴承故障知识获取的新方法 |
| |
| 引用本文： | 乔保栋,陈果,葛科宇,曲秀秀.一种滚动轴承故障知识获取的新方法[J].轴承,2011(2):39-44. |
| |
| 作者姓名： | 乔保栋 陈果 葛科宇 曲秀秀 |
| |
| 作者单位： | 南京航空航天大学,民航学院,南京,210016 |
| |
| 基金项目： | 国家自然科学基金资助项目(50705042); 航空科学基金资助项目(2007ZB52022) |
| |
| 摘 要： | 针对滚动轴承诊断中故障样本不足和故障模式复杂且难以辨识的特点,提出了一种基于Weka软件数据挖掘平台的滚动轴承故障知识获取的新方法。该方法综合运用滚动轴承时域参数和小波包络谱特征参数,并选取与其运行状态密切相关的多个振动参数作为原始特征模式,然后借助Weka平台的C4.5决策树提取了滚动轴承故障知识规则,并加以解释。最后将该方法应用于现场采集到的大量轴承数据,结果表明该方法正确有效。
|
| 关 键 词： | 滚动轴承 故障诊断 小波变换 Weka C4.5决策树 |
A New Knowledge Acquisition Method for Fault Diagnosis of Rolling Bearings |
| |
| QIAO Bao-dong,CHEN Guo,GE Ke-yu,QU Xiu-xiu.A New Knowledge Acquisition Method for Fault Diagnosis of Rolling Bearings[J].Bearing,2011(2):39-44. |
| |
| Authors: | QIAO Bao-dong CHEN Guo GE Ke-yu QU Xiu-xiu |
| |
| Affiliation: | QIAO Bao-dong,CHEN Guo,GE Ke-yu,QU Xiu-xiu(College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China) |
| |
| Abstract: | A new knowledge acquisition method is proposed for rolling bearing fault diagnosis based on Weka platform,which is able to overcome effectively the problem such as understanding complex diagnosis process,insufficient fault samples for rolling bearing diagnosis.In this new method,firstly,the time domain parameters and the wavelet envelope spectrum characteristic parameters are combined,according to the experience knowledge,some parameters of them are selected as the diagnosis features;secondly,the C4.5 decis... |
| |
| Keywords: | rolling bearing fault diagnosis wavelet transform Weka C4 5 decision tree |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
