| 基于核Fisher判别分析的滚动轴承故障诊断方法 |
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| 引用本文： | 李刚成.基于核Fisher判别分析的滚动轴承故障诊断方法[J].科技成果管理与研究,2009(6):49-51. |
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| 作者姓名： | 李刚成 |
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| 作者单位： | 湖南信息职业技术学院,湖南,望城,410200 |
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| 摘 要： | 本文提出了基于核Fisher判别分析的滚动轴承故障诊断方法。该方法利用非线性核函数将数据从原始空间映射到高维特征空间，在高维特征空间中利用Fisher判别分析方法提取最优的Fisher特征矢量和判别矢量来实现滚动轴承的状态监控与故障诊断。试验结果表明，核Fisher判别分析方法能很好地识别滚动轴承的故障模式。
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| 关 键 词： | 滚动轴承 故障诊断 模式识别 核函数Fisher判别分析 |
Fault Diagnosis of Rolling Bearing Based on FisherDiscriminant Analysis |
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| LI Gang-cheng.Fault Diagnosis of Rolling Bearing Based on FisherDiscriminant Analysis[J].Management and Research on Scientific & Technological Achievements,2009(6):49-51. |
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| Authors: | LI Gang-cheng |
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| Institution: | LI Gang-cheng (Hunan College of Information Profession, Wangcheng 410200, China) |
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| Abstract: | This paper presents a fault diagnosis method of rolling beating based on kernel Fisher discriminant analysis（KFDA）.The basic idea of KFDA is to reflect the original space into a high dimension feature space via nonlinear mapping and then extract the optimal Fisher feature vector and discriminant vector to achieve the state monitoring and fault diagnosis of rolling bearing. The experiment results indicate that the KFDA method is competent to recognize the fault patterns effectively. |
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| Keywords: | rolling bearing fault diagnosis pattern recognition kernel Fisher discriminant analysis（KFDA） |
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