| 李宏坤,张志新,马孝江,王珍.基于Hilbert谱熵的柴油机故障诊断方法研究[J].,2008,(2):220-224 |
| 基于Hilbert谱熵的柴油机故障诊断方法研究 |
| Investigation on diesel engine fault diagnosis by using Hilbert spectrum entropy |
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| DOI：10.7511/dllgxb200802012 |
| 中文关键词: 局域波 故障诊断 Hilbert谱熵 |
| 英文关键词: local wave fault diagnosis Hilbert spectrum entropy |
| 基金项目:国家自然科学基金资助项目(50475155)；大连理工大学青年教师培养基金资助项目(20070044). |
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| 中文摘要: |
| 从信号的特征提取出发，采用局域波时频谱分析和信息熵结合的方法——Hilbert谱熵(HSE)，进行柴油机振动信号的特征提取和状态识别．首先，对信号进行局域波分解；然后, 根据得到的内蕴模式分量计算Hilbert谱; 最后，建立基于时频分布的Hilbert谱熵，并以此作为故障识别的特征参数．以柴油机缸套与活塞间磨损的状态识别为例，根据对时域、频域和时频域的信息熵比较分析，证明了Hilbert谱熵对柴油机的状态进行评价的有效性．此方法为柴油机预知维修提供了一个有效的手段． |
| 英文摘要: |
| According to signal feature extraction, Hilbert spectrum entropy(HSE) by combining local wave time-frequency analysis and information entropy is used for diesel engine vibration signal feature extraction, then for the fault diagnosis. Firstly, vibration signal is decomposed by using local wave method. Then, Hilbert spectrum can be calculated according to several intrinsic mode functions. Finally, Hilbert spectrum entropy is obtained according to time-frequency distribution. It is used as feature characteristics for diesel engine pattern recognition. The diesel engine piston-liner wear is used as an example to testify the effectiveness of this method. Compared with time information entropy and frequency information entropy, it can be concluded that the HSE is effective to evaluate the condition of diesel engine. It puts forward an effective tool for diesel engine preventative maintenance. |
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