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基于流形学习的涡轮泵海量数据异常识别算法

夏鲁瑞 胡茑庆 秦国军

夏鲁瑞, 胡茑庆, 秦国军. 基于流形学习的涡轮泵海量数据异常识别算法[J]. 航空动力学报, 2011, 26(3): 698-703.
引用本文: 夏鲁瑞, 胡茑庆, 秦国军. 基于流形学习的涡轮泵海量数据异常识别算法[J]. 航空动力学报, 2011, 26(3): 698-703.
XIA Lu-rui, HU Niao-qing, QIN Guo-jun. Abnormal recognition algorithm based on manifold learning for turbopump mass data[J]. Journal of Aerospace Power, 2011, 26(3): 698-703.
Citation: XIA Lu-rui, HU Niao-qing, QIN Guo-jun. Abnormal recognition algorithm based on manifold learning for turbopump mass data[J]. Journal of Aerospace Power, 2011, 26(3): 698-703.

基于流形学习的涡轮泵海量数据异常识别算法

基金项目: 国家自然科学基金(50675219); 湖南省杰出青年科学基金(08JJ1008)

Abnormal recognition algorithm based on manifold learning for turbopump mass data

  • 摘要: 为了获取海量试车数据中的信息以分析涡轮泵的健康状态,提出一种基于流形学习的海量数据异常识别算法.该算法将反映涡轮泵状态的振动数据重构到高维空间中,利用扩散映射方法直接对其进行学习,提取出数据内在的低维流形特征,以可视化的方式直观地识别出涡轮泵数据中的异常状态.仿真与试车数据验证结果表明了所提算法的可行性和有效性.该算法克服了传统方法解决非线性问题不足的缺点,为试车后涡轮泵的健康分析提供了一条新的途径.

     

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出版历程
  • 收稿日期:  2010-02-08
  • 修回日期:  2010-05-06
  • 刊出日期:  2011-03-28

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