| 基于多征兆信息融合理论的转子故障诊断 |
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| 引用本文： | 林田,郝志华.基于多征兆信息融合理论的转子故障诊断[J].煤矿机械,2008,29(4):212-215. |
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| 作者姓名： | 林田 郝志华 |
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| 作者单位： | 1. 河北理工大学,计控学院,河北,唐山,063000
2. 唐山学院,河北,唐山,063000 |
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| 基金项目： | 河北省教育厅科研指导项目 |
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| 摘 要： | 在研究了Dempster-shafer证据理论及其算法的基础上,提出了一种基于多征兆信息融合理论的故障诊断方法。以转子故障为例,论述了该方法的实施过程。结果表明,多征兆信息的信息融合诊断方法具有良好的稳定性和容错性,提高了转子故障诊断的准确性和可靠性。
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| 关 键 词： | 故障诊断 局域波时频谱 特征提取 二维分形维数 信息融合 D-S证据理论 |
| 文章编号： | 1003-0794(2008)04-0212-04 |
| 修稿时间： | 2007年12月3日 |
Based on Multi-symptom Information Fusion Theory Rotor Fault Diagnosis |
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| LIN Tian,HAO Zhi-hua.Based on Multi-symptom Information Fusion Theory Rotor Fault Diagnosis[J].Coal Mine Machinery,2008,29(4):212-215. |
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| Authors: | LIN Tian HAO Zhi-hua |
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| Abstract: | The conception incorporated multi-sensor data fusion with Dempster-shafer evidential theory was discussed in brief.Taking the rotor fusion as an example,the imple-menting process of this diagnosis method is presented in detail.The diagnosis result indicates that the multi-symptom information fusion has the stability and the ability of fault tolerance,and can improve the accuracy and reliability of fault diagnosis of diesel engine effectively. |
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| Keywords: | fault diagnosis local wave time-frequency spectra feature extracting twodimension fractal dim-ension information fusion D-S evide-ntial theory |
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