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基于最小偏差LS-SVR的模电系统多故障诊断

谢璐璐 何玉珠 李建宏

谢璐璐, 何玉珠, 李建宏等 . 基于最小偏差LS-SVR的模电系统多故障诊断[J]. 北京航空航天大学学报, 2013, 39(7): 978-982.
引用本文: 谢璐璐, 何玉珠, 李建宏等 . 基于最小偏差LS-SVR的模电系统多故障诊断[J]. 北京航空航天大学学报, 2013, 39(7): 978-982.
Xie Lulu, He Yuzhu, Li Jianhonget al. Analog electronic system multiple fault diagnosis based on minimizing-deviation LS-SVR[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(7): 978-982. (in Chinese)
Citation: Xie Lulu, He Yuzhu, Li Jianhonget al. Analog electronic system multiple fault diagnosis based on minimizing-deviation LS-SVR[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(7): 978-982. (in Chinese)

基于最小偏差LS-SVR的模电系统多故障诊断

详细信息
  • 中图分类号: TP 18

Analog electronic system multiple fault diagnosis based on minimizing-deviation LS-SVR

  • 摘要: 为解决支持向量分类机多分类存在的样本重复训练、训练模型过多的问题,保证模拟电子系统在整体和局部多故障模式上的诊断正确率,提出基于最小偏差的最小二乘支持向量回归机多故障诊断方法.通过引进样本各维度拟合误差相对于平均拟合误差的偏差平方项,最小化维度间的拟合误差间距,得到能够输出多维变量及具有高分辨率的最小二乘支持向量回归机模型.将模型多维输出值与预设的各个多故障模式值相乘,所得结果集中最大值所对应的多故障模式即为最终诊断结果.仿真结果表明:提出的方法在简化训练过程的同时,能够保持良好的整体和局部多故障诊断正确率.

     

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出版历程
  • 收稿日期:  2012-08-01
  • 网络出版日期:  2013-07-30

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