| 基于内禀模态能量熵与支持向量机的转子故障智能诊断方法的研究 |
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| 引用本文： | 祝晓燕,田希,朱霄珣,李文华.基于内禀模态能量熵与支持向量机的转子故障智能诊断方法的研究[J].汽轮机技术,2011,53(5). |
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| 作者姓名： | 祝晓燕 田希 朱霄珣 李文华 |
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| 作者单位： | 1. 华北电力大学机械工程系,保定,071003
2. 华北电力大学动力工程系,保定,071003 |
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| 摘 要： | 大型旋转机械转子的运转情况是生产过程中最重要的问题之一,在故障初期对故障识别并实现智能诊断具有重要的意义。然而大型旋转机械存在较大的非线性,并且故障样本较少,给特征提取和状态识别带来了很大困难。基于经验模态分解(EMD)后内禀模态函数的能量熵,提取各个内禀模态函数的能量作为特征向量,并以此作为支持向量机(SVM)的输入参数来输入支持向量机进行故障诊断。实验表明这种方法能够对故障状态与正常状态正确分类,实现故障的智能诊断。
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| 关 键 词： | 故障诊断 经验模态分解 内禀模态能量 支持向量机 |
The Research on the Method of Intelligent Fault Diagnosis of Rotor Film Based on Empirical Mode Decomposition Entropy and Support Vector Machine |
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| ZHU Xiao-yan,TIAN Xi,ZHU Xiao-xun,LI Wen-hua.The Research on the Method of Intelligent Fault Diagnosis of Rotor Film Based on Empirical Mode Decomposition Entropy and Support Vector Machine[J].Turbine Technology,2011,53(5). |
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| Authors: | ZHU Xiao-yan TIAN Xi ZHU Xiao-xun LI Wen-hua |
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| Affiliation: | ZHU Xiao-yan1,TIAN Xi1,ZHU Xiao-xun 2,LI Wen-hua1(1 Department of Mechanical Engineering,Baoding 071003,China,2 Department of Power Engineering,North China Electric Power University,China) |
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| Abstract: | The large rotating machinery functioning of the rotor is one of the most important issues.It has great significance to identify the fault early and implement intelligent fault diagnosis.However there is a big nonlinear about large rotating machinery and has less fault samples.This cause big difficult for feature extraction and state recognition.Based on empirical mode decomposition entropy,we extract each intrinsic mode function energy as eigenvector and make them for input parameter of the support vector m... |
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| Keywords: | fault diagnosis empirical mode decomposition Intrinsic Mode Function energy support vector machine |
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