...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Shock and vibration >Wavelet Denoising of Vehicle Platform Vibration Signal Based on Threshold Neural Network
【24h】

Wavelet Denoising of Vehicle Platform Vibration Signal Based on Threshold Neural Network

机译：基于阈值神经网络的车辆平台振动信号小波降噪

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

Vehicle Platform Vibration Signal (VPVS) denoising is essential to achieve high measurement accuracy of precise optical measuring instrument (POMI). A method to denoise the VPVS is proposed based on the wavelet coefficients thresholding and threshold neural network (TNN). According to the characteristics of VPVS, a novel thresholding function is constructed, and then its optimized threshold is selected through unsupervised learning of TNN. The original VPVS mixed in trend and random noise is constructed as VPVS model. A VPVS denoising flow is proposed based on the power spectral and energy distribution of the VPVS model. The simulation shows that the proposed denoising method achieves better results, compared to the previous denoising methods using the indexes of SNR and RMSE. The experiment demonstrates that it is efficient for denoising VPVS polluted by the trend and random noise.
机译：车辆平台振动信号（VPVS）降噪对于实现精密光学测量仪器（POMI）的高测量精度至关重要。提出了一种基于小波系数阈值和阈值神经网络（TNN）的VPVS去噪方法。根据VPVS的特点，构造了一种新颖的阈值函数，然后通过对TNN的无监督学习来选择其最优阈值。混合了趋势和随机噪声的原始VPVS被构建为VPVS模型。基于VPVS模型的功率谱和能量分布，提出了一种VPVS去噪流程。仿真结果表明，与采用SNR和RMSE指标的去噪方法相比，本文提出的去噪方法具有更好的效果。实验表明，该方法可有效去除趋势和随机噪声污染的VPVS。

著录项

  • 来源
    《Shock and vibration》 |2017年第1期|7962828.1-7962828.12|共12页
  • 作者

    Li Mingzhu; Wang Zhiqian; Luo Jun; Liu Yusheng; Cai Sheng;

  • 作者单位

    Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun, Jilin, Peoples R China|Univ Chinese Acad Sci, Beijing, Peoples R China;

    Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun, Jilin, Peoples R China;

    Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun, Jilin, Peoples R China|Univ Chinese Acad Sci, Beijing, Peoples R China;

    Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun, Jilin, Peoples R China|Univ Chinese Acad Sci, Beijing, Peoples R China;

    Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun, Jilin, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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