基于牛顿迭代盲源分离方法的磨床故障诊断

李子枫;杜文辽;李彦明;王双园;刘成良

振动与冲击 ›› 2013, Vol. 32 ›› Issue (24) : 44-47.

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振动与冲击 ›› 2013, Vol. 32 ›› Issue (24) : 44-47.
论文

基于牛顿迭代盲源分离方法的磨床故障诊断

  • 李子枫,杜文辽,李彦明,王双园,刘成良
作者信息 +

Newton Iterative Based Blind Source Separation for Grinding MachinesFault Diagnosis

  • Li Zi-feng, Du Wen-liao,Li Yan-ming,Wang Shuang-yuan , Liu Cheng-liang
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文章历史 +

摘要

磨床的振动信号是由多个振动源混合而成的复杂信号,利用盲源分离技术分离混合信号成为各个振动源的单独信号能更准确的实现设备的状态监控和故障诊断。基于峭度的不动点迭代法是一种常用的盲源分离方法,但存在分离矩阵难以收敛,分离效果不稳定的问题。论文在峭度最大化的理论基础上,提出基于牛顿迭代算法的振动信号盲源分离方法。通过模拟振动信号实验,当分离矩阵的迭代步数仅为不动点迭代法的1/500时,本算法就完成了分离过程,并且分离效果更佳。对数控磨床实际振动信号的分离实验,得到了和计算结果相同的磨床运行参数,进一步验证了本文方法可以较好的应用于工程实际中。

Abstract

The signal collected from grinding machines is a kind of compound signal mixed with several vibration sources. In order to isolate it, blind source separation (BSS) algorithm is used to improve the accuracy of condition monitoring and fault diagnosis. It is a common way to use fixed point iteration method based on kurtosis which has the problem of low convergence rate and unsteady isolation accuracy. To solve the problem, this paper proposed a new BSS method to maximize kurtosis based on Newton iteration. Through the simulated experiment, the number of iteration steps of this paper is 1/5000 that of fixed point method with better accuracy. Through the actual experiment of grinding machine, this algorithm gets the same operating parameters as the calculation, which further demonstrates this method can be better applied in practical engineering.


关键词

牛顿迭代法 / 峭度 / 盲源分离 / 磨床 / 故障诊断

Key words

Newton iterative method / Kurtosis / Blind source separation / Grinding machine / Fault diagnosis

引用本文

导出引用
李子枫;杜文辽;李彦明;王双园;刘成良. 基于牛顿迭代盲源分离方法的磨床故障诊断[J]. 振动与冲击, 2013, 32(24): 44-47
Li Zi-feng;Du Wen-liao;Li Yan-ming;Wang Shuang-yuan;Liu Cheng-liang. Newton Iterative Based Blind Source Separation for Grinding MachinesFault Diagnosis[J]. Journal of Vibration and Shock, 2013, 32(24): 44-47

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