| 基于小波包变换和奇异值分解的柴油机振动信号特征提取研究 |
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| 引用本文： | 李国宾,关德林,李廷举.基于小波包变换和奇异值分解的柴油机振动信号特征提取研究[J].振动与冲击,2011,30(8):149-152. |
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| 作者姓名： | 李国宾 关德林 李廷举 |
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| 作者单位： | 1大连理工大学材料科学与工程博士后流动站 辽宁 大连 116024；2大连海事大学轮机工程学院，辽宁 大连 116026 |
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| 基金项目： | 教育部新教师基金资助项目(200801511018); 大学基础研究培育基金项目(2009JC13); 大学青年骨干教师基金项目(2009QN018) |
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| 摘 要： | 为通过振动信号识别柴油机的工作状态，提出利用小波包变换和奇异值分解提取振动信号特征的新方法。给出了小波包变换算法及奇异值分解算法，依据矩阵奇异值特征向量，定义了振动信号特征参数，并探讨了特征参数与柴油机运行状态之间的内在联系。结果表明：特征参数能够敏感地反映柴油机工作性能的变化。随着柴油机工作性能的恶化，振动强度的增加，特征参数变大。特征参数可作为柴油机状态监测和故障诊断的特征量。
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| 关 键 词： | 振动信号 柴油机 小波包变换 奇异值分解 特征参数 |
| 收稿时间： | 2009-3-16 |
| 修稿时间： | 2010-7-31 |
Feature extraction of diesel engine vibration signal based on waveletpacket transform and singularity value decomposition |
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| LI Guo-bin,GUAN De-lin,LI Ting-ju.Feature extraction of diesel engine vibration signal based on waveletpacket transform and singularity value decomposition[J].Journal of Vibration and Shock,2011,30(8):149-152. |
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| Authors: | LI Guo-bin GUAN De-lin LI Ting-ju |
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| Affiliation: | 1 Postdoctoral Station of School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024,China; 2 Marine Engineering College, Dalian Maritime University, Dalian 116026, China |
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| Abstract: | In order to recognize the operating conditions of diesel engine,a novel approach for extracting features of vibration signals was proposed using waveletpacket transform and singularity value decomposition.The waveletpacket transform and the singularity value decomposition algorithms were introduced.The characteristic parameters were defined based on the singular value characteristic vector.The intrinsic relationship between the characteristic parameters and the operating condition of diesel engine were disc... |
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| Keywords: | vibration signal diesel engine waveletpacket transform singularity value decomposition characteristic parameter |
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