| 回转支承的故障监测诊断技术研究 |
| |
| 引用本文： | 刘志军,陈捷.回转支承的故障监测诊断技术研究[J].现代制造工程,2011(11):127-131. |
| |
| 作者姓名： | 刘志军 陈捷 |
| |
| 作者单位： | 南京工业大学机械与动力工程学院,南京,210009 |
| |
| 基金项目： | 安徽省科技攻关项目，江苏省教育厅产业化推进项目 |
| |
| 摘 要： | 回转支承的故障监测诊断技术的研究对于提高设备的运行效率、减少经济损失具有重要的意义.有针对性地概述了基于振动信号、温度信号、摩擦力矩、声发射、应力波的回转支承监测诊断技术,以及针对上述信号的分析处理方法,其中包括针对回转支承局部缺陷信号诊断的HHT、EEMD-MSPCA等方法.最后,对各监测诊断方法进行比较,并提出基于...
|
| 关 键 词： | 回转支承 故障监测 故障诊断 |
Monitoring and diagnosis technique on slewing bearing |
| |
| LIU Zhi-jun,CHEN Jie.Monitoring and diagnosis technique on slewing bearing[J].Modern Manufacturing Engineering,2011(11):127-131. |
| |
| Authors: | LIU Zhi-jun CHEN Jie |
| |
| Affiliation: | LIU Zhi-jun,CHEN Jie(School of Mechanical and Power Engineering,Nanjing University of Technology,Nanjing 210009,China) |
| |
| Abstract: | Fault monitoring and diagnosis technology would be a great significance for equipment efficiency and reducing the economic loss due to the slewing bearing failure.Slewing bearing monitoring and diagnosis technique based on vibration,temperature,friction torque,acoustic emission,stress wave were introduced,including the methods of signal processing,especially Hilbert-Huang Transform(HHT),Ensemble Empirical Mode Decomposition-Based Multiscale Principal Component Analysis(EEMD-MSPCA) for local fault signal pro... |
| |
| Keywords: | slewing bearing fault detection fault diagnosis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
