| 机器状态智能诊断与管理系统 |
| |
| 引用本文： | 钱苏翔.机器状态智能诊断与管理系统[J].机械设计与制造,2000(2):3-4. |
| |
| 作者姓名： | 钱苏翔 |
| |
| 作者单位： | 浙江嘉兴高等专科学校!嘉兴314001 |
| |
| 摘 要： | 利用小波变换的时频特性和多分辨率特点，将待处理的信号通过调整小波尺度来抽取具有实质性的故障特征，确保了信息量的完整性。将模糊理论与人工神经网络相结合，应用于滚动轴承的故障诊断中，并采用面向对象的分析方法和编程技术实现了轴承实验机的智能诊断与管理。
|
| 关 键 词： | 故障诊断 小波变换 模糊神经网络 滚动轴承 |
Intellective diagnosis and manage system of bearing test machine |
| |
| QIAN Su-xiang.Intellective diagnosis and manage system of bearing test machine[J].Machinery Design & Manufacture,2000(2):3-4. |
| |
| Authors: | QIAN Su-xiang |
| |
| Abstract: | A method using the time-frequency and multi-distinguishability characteristic of wavelet transform is porposed to extract fault characteristic processed signal by adjusting wavelet scale,which ensures informational completeness.In addition,a method is put forword which combines artificial neural network with the theory of fuzzy logic and applied to the fault diagnosis of rolling bearing.Then by means of object-oriented analytic methods as well as programming skills,we implement the intellective diagnosis and manage system of bearing test machine. |
| |
| Keywords: | rolling bearing failure diagnosis wavelet transform fuzzy neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
