转子全周碰摩与局部碰摩的识别方法研究

熊 炘 杨世锡 甘春标 周晓峰

振动与冲击 ›› 2012, Vol. 31 ›› Issue (16) : 13-17.

PDF(1267 KB)
PDF(1267 KB)
振动与冲击 ›› 2012, Vol. 31 ›› Issue (16) : 13-17.
论文

转子全周碰摩与局部碰摩的识别方法研究

  • 熊 炘 杨世锡 甘春标 周晓峰
作者信息 +

Research on Recognition Method for Rotor System underFull Annular Rub and Partial Rub

  • XIONG Xin YANG Shixi GAN Chunbiao ZHOU Xiaofeng
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摘要

摘 要:超临界汽轮发电机组的结构和工况复杂,容易引起转、静子间的碰摩。根据碰摩诱发因素的不同,可将其分为全周碰摩与局部碰摩。由于两种碰摩故障的时、频特征相似,传统的时、频域分析方法很难准确提取它们的故障特征。本文针对这一不足,提出一种基于经验模式分解-奇异值分解(EMD-SVD)与支持向量机(SVM)的碰摩故障识别方法,用于对转子全周碰摩与局部碰摩故障进行识别。首先,通过EMD获取碰摩信号的固有模式函数(IMF);然后,提取表征信号主要能量的前四阶IMF组成特征矩阵并进行SVD分解,得到关于原信号的一组特征值;最后,将特征值输入SVM,对原信号进行分类识别。转子试验台全周碰摩与局部碰摩试验结果表明,本方法对转子全周碰摩与局部碰摩故障的分类准确率高,其中以径向基函数作为核函数的SVM分类准确率达到96.0%。

Abstract

Abstract: Supercritical steam turbosets are highly complex in their structure and working conditions and prone to rub between static and dynamic parts. Induced by different factors, rubbing faults can be divided into full annular rub and partial rub. Since the time-frequency characteristics are similar to each other, discrimination of two kinds of rub faults are hard to proceed using the traditional spectrum analysis methods. In response to make up for this shortage, an intelligent recognition method based on the EMD-SVD and the SVM is proposed. First, IMFs are collected through EMD. Second, the first-four-order IMFs, which contain the main power of the original signal, are extracted to form the characteristic matrix, and singular value decomposition is applied to obtain a series of eigenvalues. Last, the eigenvalues are inputted to train the SVM in order to classify rub faults. The newly developed intelligent recogonition method is used to analyze both the signals collected from rotor test-bed under full annular rub and partial rub conditions. Results from the experiments show that, classification accuracy of this new-developed method is high, especially for the SVM using radial basis as kernel function, where the classification accuracy is up to 96.0%.

关键词

转子 / 全周碰摩 / 局部碰摩 / 经验模式分解 / 奇异值分解 / 支持向量机

Key words

Rotor / Full annular rub / Partial rub / Empirical Mode Decomposition / Singular value decomposition / Support vector machine

引用本文

导出引用
熊 炘 杨世锡 甘春标 周晓峰. 转子全周碰摩与局部碰摩的识别方法研究[J]. 振动与冲击, 2012, 31(16): 13-17
XIONG Xin YANG Shixi GAN Chunbiao ZHOU Xiaofeng. Research on Recognition Method for Rotor System underFull Annular Rub and Partial Rub[J]. Journal of Vibration and Shock, 2012, 31(16): 13-17

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