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| 基于混沌分形的旋转机械故障诊断方法研究 | |
| 引用本文： | 朱春梅,徐小力,张建民.基于混沌分形的旋转机械故障诊断方法研究[J].煤矿机械,2006,27(6):1101-1102. |
| 作者姓名： | 朱春梅 徐小力 张建民 |
| 作者单位： | 1. 北京理工大学,机械与车辆工程学院,北京,100081;北京信息科技大学,北京,100085 2. 北京信息科技大学,北京,100085 3. 北京理工大学,机械与车辆工程学院,北京,100081 |
| 基金项目： | 中国科学院资助项目;北京市自然科学基金;北京市重点实验室基金 |
| 摘 要： | 混沌分形对揭示事物的非线性本质具有独特性,基于混沌分形的方法对复杂机械系统的早期故障较为敏感。将混沌分形用于复杂机械故障诊断中,用关联维来刻画故障特征,在旋转机械的滚动轴承故障诊断中取得了较好的效果。 |
| 关 键 词： | 混沌 分形 故障诊断 关联维 |
| 文章编号： | 1003-0794（2006）06-1101-02 |
| 收稿时间： | 2006-04-10 |
| 修稿时间： | 2006年4月10日 |
Rotary Machine Fault Diagnosis Research based on Chaos and Fractal Theory |
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| ZHU Chun-mei,XU Xiao-li,ZHANG Jian-min.Rotary Machine Fault Diagnosis Research based on Chaos and Fractal Theory[J].Coal Mine Machinery,2006,27(6):1101-1102. | |
| Authors: | ZHU Chun-mei XU Xiao-li ZHANG Jian-min |
| Affiliation: | 1. College of Mechanical and Vehicle, Beijing Institute of Technology, Beijing 100081, China ; 2. Dep. of Mechanical Engineering, Beijing Information Scientific University, Beijing 100085, China |
| Abstract: | Chaos and fractal theory has its particular characteristic in posting essences of things, methods based on chaos and fractal theory is sensitive to complex machine system forepart faults. So chaos and fractals theory is used to complex machine fault diagnosis with correlation dimension representing fault characteristics. Good results are obtained for roiling bearing fault diagnosis in rotating machinery. |
| Keywords: | chaos and fractal fault diagnosis correlation dimension |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |