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机械振动信号的改进数学形态滤波分析
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  • 英文篇名:ANALYSIS OF MECHANICAL VIBRATION SIGNAL USING IMPROVED MATHEMATICAL MORPHOLOGICAL FILTER
  • 作者:吴雪莎
  • 英文作者:WU XueSha;Marxism Studies and General Education College,Chongqing College of Electronic Engineering;
  • 关键词:机械振动信号 ; 数学形态 ; 量子理论 ; 结构元素 ; 故障诊断
  • 英文关键词:Mechanical vibration signal;;Mathematical morphology;;Quantum theory;;structuring element;;Fault diagnosis
  • 中文刊名:JXQD
  • 英文刊名:Journal of Mechanical Strength
  • 机构:重庆电子工程职业学院马克思主义与通识教育学院;
  • 出版日期:2019-01-24
  • 出版单位:机械强度
  • 年:2019
  • 期:v.41;No.201
  • 基金:重庆市高等教育教学改革研究项目(103433)资助~~
  • 语种:中文;
  • 页:JXQD201901007
  • 页数:5
  • CN:01
  • ISSN:41-1134/TH
  • 分类号:42-46
摘要
为克服传统形态滤波器结构元素不能自适应调整长度的缺点,采用量子理论对数学形态学结构元素长度进行优化,实现了结构元素长度随振动信号变化自动修正。采用量子比特对振动信号进行分析,并将其拓展为振动信号的多量子比特系统,进而在量子系统内对振动信号的波形进行测量,最终结合量化指标对结构元素进行动态优化。将经过长度修正的结构元素用于故障轴承的振动信号分析,准确提取出异常脉冲信号。
        For overcoming the defect that the length of conventional structuring element in mathematical morphology can't change adaptively,quantum theory is utilized to optimize its length,which finally realizes the goal that the length of structuring element can adjust with mechanical vibration signal automatically. The quantum bit is employed to analyze vibration signal,and furthermore it is extended to multiple quantum bits system for vibration signal analysis. The waveform of vibration signal is measured in the framework of quantum system,thus the structuring element is modified by measured index. Applying the modified structuring element to vibration signal sampled from fault bearing,the abnormal impulse signal is extracted correctly.
引文
[1]Li Yifan,Liang Xihui,Zuo Ming.Diagonal slice spectrum assisted optimal scale morphological filter for rolling element bearing fault diagnosis[J].Mechanical Systems and Signal Processing,2017,85(2):146-161.
    [2]Hu Zhiyong,Wang Chao,Zhu Jun,et al.Bearing fault diagnosis based on improved morphological filter[J].Measurement,2016,80(2):163-178.
    [3]Li Yifan,Liang Xihui,Zuo Ming,Et al.Fault detection method for railway wheel falt using an adaptive multiscale morphological filter[J].Mechanical Systems and Signal Processing,2017,84(2):642-658.
    [4]Li Bing,Zhang Peilin,Wang Zhengjun,et al.A weighted multiscale morphological gradient filter for rolling element bearing fault detection[J].ISA Transactions,2011,50(4):599-608.
    [5]Fu Xiaowei,Wang Yi,Chen Li,et al.An image despeckling using quantum-inspiring statistics in dual-tree complex wavelet domain[J].Biomedical Signal Processing and Control,2015,28(4):30-35.
    [6]Chen Yanlong,Zhang Peilin,Li Bing,et al.Denoising of mechanical vibration signals using quantum-inspired adaptive wavelet shrinkage[J].Shock and Vibration,2014:848097.
    [7]Feng Jianbin,Ding Mingyue,Zhang Xuming.Decision-based adaptive morphological filter for fixed-value impulse noise removal[J].Optik,2014,125(16):4288-4294.
    [8]Lu T C,Yu G R.An adaptive population multiobjective quantum inspired evolutionary algorithm for multiobjective 0/1 knapsack problems[J].Information Sciences,2013,243(9):39-56.
    [9]谢可夫,罗安.量子启发数学形态学的研究[J].电子学报,2006,33(2):284-287.XIE Ke Fu,LUO An.Research on quantum-inspired mathematical morphology[J].Acta Electronica Sinica,2006,33(2):284-287(In Chinese).
    [10]Nikolaou N G,Antoniadis I A.Application of morphological operators as envelope extractors for impulsive-type periodic signals[J].Mechanical Systems and Signal Processing,2003,17(6):1147-1162.

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