球结构支持向量机在转轴碰摩位置识别中的应用

袁胜发;褚福磊

振动与冲击 ›› 2009, Vol. 28 ›› Issue (8) : 70-73.

PDF(1331 KB)
PDF(1331 KB)
振动与冲击 ›› 2009, Vol. 28 ›› Issue (8) : 70-73.
论文

球结构支持向量机在转轴碰摩位置识别中的应用

  • 袁胜发1,褚福磊2
作者信息 +

A DIAGNOSTIC APPROACH TO RUB-IMPACT FAULT OF SHAFT BASED ON SPHERE SUPPORT VECTOR MACHINES

  • YUAN Sheng-fa1,CHU Fu-lei2
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摘要

摘要:碰摩是旋转机械中常见的故障,碰摩故障位置识别是一个有待深入研究的故障诊断问题。对球结构支持向量机进行改进,充分考虑分类球的大小对分类的影响,经过理论分析和仿真实验得到新的分类规则。把转轴上不同位置的碰摩当作不同的故障,转轴碰摩故障位置识别就是个较大规模的多类别故障诊断问题,运用改进的球结构支持向量机进行转轴碰摩故障位置识别。实验结果表明,和其他同类算法相比,改进的球结构支持向量机具有识别率高、速度快、计算量少、数据处理容量大等优点,适合于较大规模的多类别故障诊断。

Abstract

Abstract: Rub-impact is the ordinary failure of rotating machinery, and its position detection is a problem pending deeply study. Sphere support vector machines, a kind of multi-class support vector machines, is improved after the influence of the size of sphere on the classification is taken into account and a effective and simple rule of classification is derived from rational analysis and simulation experiment. The rub-impacts in different parts of shaft are regarded as different faults, and their position detection becomes a large-scale multi-class fault diagnosis and can be solved by the improved sphere support vector machines. The experiment of rub-impact position detection of simulation shaft shows that the improved sphere support vector machines distinctly improves the fault recognition accuracy, the diagnosis speed and the data processing capability, and is more suitable for practical application of large-scale multi-class fault diagnosis.

关键词

故障诊断 / 球结构支持向量机 / 多类分类算法 / 碰摩

Key words

faults diagnosis / sphere support vector machines / multi-class support vector machines / rub-impact fault

引用本文

导出引用
袁胜发;褚福磊. 球结构支持向量机在转轴碰摩位置识别中的应用[J]. 振动与冲击, 2009, 28(8): 70-73
YUAN Sheng-fa;CHU Fu-lei. A DIAGNOSTIC APPROACH TO RUB-IMPACT FAULT OF SHAFT BASED ON SPHERE SUPPORT VECTOR MACHINES[J]. Journal of Vibration and Shock, 2009, 28(8): 70-73

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