| 基于EMD的柴油机失火故障诊断 |
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| 引用本文： | 陆金铭,王醇涛,周海港.基于EMD的柴油机失火故障诊断[J].江苏科技大学学报(社会科学版),2009,23(3):234-238. |
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| 作者姓名： | 陆金铭 王醇涛 周海港 |
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| 作者单位： | 江苏科技大学,船舶与海洋工程学院,江苏,镇江,212003
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| 摘 要： | 提出了一种基于经验模式分解（Empirical Mode Decomposition，EMD）和自回归（Auto Regression，AR）模型的柴油机失火故障诊断方法．对3110型柴油机断油故障及正常情况下的缸盖振动信号进行了测试分析，采用经验模式分解EMD方法对振动信号进行分解，得到固有模态函数（Intrinsic Mode Function，IMF），对每一个IMF分量分别建立AR模型，以模型的自回归参数和残差的方差作为特征向量，用支持向量机（Support Vector Machines，SVM）进行分类，判断柴油机的工作状态和故障类型．实验结果分析表明，该方法即使在小样本情况下也能准确有效地诊断柴油机失火故障，能实现故障的实时自动化诊断．
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| 关 键 词： | 柴油机 失火 故障诊断 经验模式分解 支持向量机 |
Misfire fault diagnosis of diesel engine based on EMD |
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| Lu Jinming,Wang Chuntao,Zhou Haigang.Misfire fault diagnosis of diesel engine based on EMD[J].Journal of Jiangsu University of Science and Technology:Natural Science Edition,2009,23(3):234-238. |
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| Authors: | Lu Jinming Wang Chuntao Zhou Haigang |
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| Institution: | School of Naval Architecture and Ocean Engineering;Jiangsu University of Science and Technology;Zhenjiang Jiangsu 212003 China |
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| Abstract: | A new method of detecting misfire fault using vibration signals of cylinder head based on EMD(Empirical Mode Decomposition) and AR(Auto Regression) model is put forward in this paper.Surface vibration signals have been obtained under the misfire condition and the normal condition on 3110 diesel.The EMD method is used to decompose the vibration signal into a number of intrinsic mode function components and then the AR model of each IMF component is established.The auto-regressive parameters and the variance ... |
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| Keywords: | diesel engine misfire fault diagnosis empirical mode decomposition support vector machines |
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