| 基于集成超1-依赖分类器的柴油机振动信号故障诊断方法 |
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| 引用本文： | 王鑫,于洪亮,张琳,宋玉超.基于集成超1-依赖分类器的柴油机振动信号故障诊断方法[J].上海海事大学学报,2011,32(3):49-53. |
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| 作者姓名： | 王鑫 于洪亮 张琳 宋玉超 |
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| 作者单位： | 1. 大连海事大学轮机工程学院,辽宁大连,116026
2. 大连工业大学化工与材料学院,辽宁大连,116034 |
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| 基金项目： | 辽宁省自然科学基金（20072144）;中央高校基本科研业务费资助项目（2009QN027） |
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| 摘 要： | 为进一步提高柴油机智能化诊断系统的诊断准确率,针对不同工况柴油机缸盖振动信号的特点,利用4层小波包分解提取缸盖振动信号的特征向量,采用基于信息熵最小化的多区间离散化分析确定特征向量的离散区间,利用改进的超1-依赖贝叶斯分类器对模拟故障状态下的离散数值进行分类.实验结果表明,该方法对不同载荷、转速及混合工况下柴油机故障的...
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| 关 键 词： | 柴油机 振动信号 贝叶斯分类器 故障诊断 1-依赖分类器 |
| 收稿时间： | 2010/12/6 0:00:00 |
| 修稿时间： | 6/9/2011 12:00:00 AM |
Method of vibration signal fault diagnosis for diesel engine based on integrated super parent one dependence classifier |
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| WANG Kin,YU Hongliang,ZHANG Lin,SONG Yuchao.Method of vibration signal fault diagnosis for diesel engine based on integrated super parent one dependence classifier[J].Journal of Shanghai Maritime University,2011,32(3):49-53. |
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| Authors: | WANG Kin YU Hongliang ZHANG Lin SONG Yuchao |
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| Institution: | Dalian Maritime Unversity College of Marine Engineering,Dalian Maritime Unversity College of Marine Engineering,School of Light Industry & Chemical Engineering,Dalian Maritime Unversity College of Marine Engineering |
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| Abstract: | In order to improve the diagnosis accuracy of intelligent diesel engine diagnosis system,based on the characteristics of cylinder-head vibration signal in different conditions,the four-layer wavelet packet decomposition is used to extract characteristic vectors of cylinder-head vibration signal,and multi-interval discretization analysis based on the minimization of information entropy is used to determine discretization intervals of the characteristic vectors,and then discrete data under the simulated fault... |
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| Keywords: | diesel engine vibration signal Bayesian classifier fault diagnosis one-dependence classifier |
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