首页> 外文期刊>Research journal of applied science, engineering and technology >A Fault Detection Method of Rolling Bearing Based on Wavelet Packet-cepstrum
【24h】

A Fault Detection Method of Rolling Bearing Based on Wavelet Packet-cepstrum

机译:基于小波包倒谱的滚动轴承故障检测方法

获取原文
           

摘要

In this study, we put forward a fault detection method of rolling bearing based on the wavelet packet-cepstrum. Firstly, the original signal is decomposed using the wavelet packet. Secondly, calculate the energy of the decomposed sub-band reconstruction signal and select the relatively band which is concentrated on the fault energy. Finally, calculate cepstrum of the reconstruction signal to detect fault. The actual normal and fault data of the rolling bearing's outer ring is analyzed in applying this method in the MATLAB simulation circumstance. The result shows that the outer ring's failure frequency measured by the experiment is consistent with the theoretical calculation result.
机译:本文提出了一种基于小波包倒谱的滚动轴承故障检测方法。首先,使用小波包对原始信号进行分解。其次,计算分解后的子带重建信号的能量,并选择集中在故障能量上的相对频带。最后,计算重构信号的倒谱以检测故障。在MATLAB仿真环境中应用该方法分析了滚动轴承外圈的实际正态和故障数据。结果表明,实验测得的外圈失效频率与理论计算结果相吻合。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号