基于EMD方法的煤矿绞车轴承故障诊断

基金项目:

江苏省大型工程装备检测与控制重点建设实验室开放课题资助项目（JSKLEDC201312）

住房和城乡建设部研究开发项目(2014-k1-045)

徐州市科技计划项目（KC14SM095）

详细信息

Fault diagnosis for mine hoist bearing based on EMD method

1.
College of Information and Electrical Engineering, Xuzhou Institute of Technology, Xuzhou 221111, China
2.
School of Information and Electrical Engineering, China University of Mining and Technology

摘要: 根据煤矿绞车齿轮箱轴承在变速变载工况下振动信号的频率一直发生变化的特征，提出采用EMD方法进行绞车轴承故障诊断。在较大拖动力与较大转频阶段，根据轴承座在正常状态与故障状态下振动信号的IMF分量的能量与总能量的比值及均方根能量来判断轴承工作状态，通过提取故障信号频率的边际谱判断故障位置。实验结果证明了EMD方法能够有效检测出绞车齿轮箱轴承故障。
- 煤矿绞车 /
- 齿轮箱轴承 /
- 故障诊断 /
- EMD方法
Abstract: According to characteristics that frequency of vibration signals of hoist gear box bearing in coal mine changes all the time under varying load and speed conditions, EMD method was adopted for fault diagnosis for hoist bearing. In phase of larger drag force and greater rotating frequency, working status of bearing is adjusted according to energy ratio and root mean square energy of IMF components of bearing vibration signal under normal status and fault status, and fault position is determined by extracting marginal spectrum of fault signal frequency. The experimental results show EMD method can detect bearing fault of hoist gear box effectively.
- mine hoist /
- bearing of gear box /
- fault diagnosis /
- EMD method