...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mechanical systems and signal processing >An adaptive morphological gradient lifting wavelet for detecting bearing defects
【24h】

An adaptive morphological gradient lifting wavelet for detecting bearing defects

机译：自适应形态学梯度提升小波检测轴承缺陷

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents a novel wavelet decomposition scheme, named adaptive morphological gradient lifting wavelet (AMGLW), for detecting bearing defects. The adaptability of the AMGLW consists in that the scheme can select between two filters, mean the average filter and morphological gradient filter, to update the approximation signal based on the local gradient of the analyzed signal. Both a simulated signal and vibration signals acquired from bearing are employed to evaluate and compare the proposed AMGLW scheme with the traditional linear wavelet transform (LWT) and another adaptive lifting wavelet (ALW) developed in literature. Experimental results reveal that the AMGLW outperforms the LW and ALW obviously for detecting bearing defects. The impulsive components can be enhanced and the noise can be depressed simultaneously by the presented AMGLW scheme. Thus the fault characteristic frequencies of bearing can be clearly identified. Furthermore, the AMGLW gets an advantage over LW in computation efficiency. It is quite suitable for online condition monitoring of bearings and other rotating machineries.
机译：本文提出了一种新的小波分解方案，称为自适应形态学梯度提升小波（AMGLW），用于检测轴承缺陷。 AMGLW的适应性在于该方案可以在两个滤波器（均值滤波器和形态梯度滤波器）之间进行选择，以根据分析信号的局部梯度来更新近似信号。从轴承获取的模拟信号和振动信号均用于评估和比较提出的AMGLW方案与传统的线性小波变换（LWT）和文献中开发的另一种自适应提升小波（ALW）。实验结果表明，AMGLW在检测轴承缺陷方面明显优于LW和ALW。提出的AMGLW方案可以增强脉冲分量，并同时抑制噪声。因此可以清楚地识别轴承的故障特征频率。此外，AMGLW在计算效率方面优于LW。它非常适用于轴承和其他旋转机械的在线状态监测。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2012年第5期|p.415-427|共13页
  • 作者

    Bing Li; Pei-lin Zhang; Shuang-shan Mi; Ren-xi Hu; Dong-sheng Liu;

  • 作者单位

    Forth department, Ordnance Engineering College, No. 97, He-ping west Road, Shi Jia-zhuang 050003, He Bei province, PR China;

    First department, Ordnance Engineering College, No. 97, He-ping west Road, Shi Jia-zhuang, He Bei province, PR China;

    Forth department, Ordnance Engineering College, No. 97, He-ping west Road, Shi Jia-zhuang 050003, He Bei province, PR China;

    Department of basic training, Ordnance Engineering College, No. 97, He-ping west Road, Shi Jia-zhuang 050003, He Bei province, PR China;

    Forth department, Ordnance Engineering College, No. 97, He-ping west Road, Shi Jia-zhuang 050003, He Bei province, PR China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    morphological gradient; adaptive lifting; morphological wavelets; rolling element bearing; fault diagnosis;

    机译：形态梯度适应性提升;形态小波滚动轴承;故障诊断;

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