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信息缺失的航空发动机传感器数据重构

周媛 左洪福 何军

周媛, 左洪福, 何军等 . 信息缺失的航空发动机传感器数据重构[J]. 北京航空航天大学学报, 2016, 42(5): 891-898. doi: 10.13700/j.bh.1001-5965.2015.0350
引用本文: 周媛, 左洪福, 何军等 . 信息缺失的航空发动机传感器数据重构[J]. 北京航空航天大学学报, 2016, 42(5): 891-898. doi: 10.13700/j.bh.1001-5965.2015.0350
ZHOU Yuan, ZUO Hongfu, HE Junet al. Aeroengine sensor data reconstruction with missing data[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(5): 891-898. doi: 10.13700/j.bh.1001-5965.2015.0350(in Chinese)
Citation: ZHOU Yuan, ZUO Hongfu, HE Junet al. Aeroengine sensor data reconstruction with missing data[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(5): 891-898. doi: 10.13700/j.bh.1001-5965.2015.0350(in Chinese)

信息缺失的航空发动机传感器数据重构

doi: 10.13700/j.bh.1001-5965.2015.0350
基金项目: 国家自然科学基金(61203273,61402236,61079013)
详细信息
    作者简介:

    周媛 女,博士研究生,讲师。主要研究方向:模式识别、航空发动机健康管理。Tel.:025-58731196 E-mail:zhouyuan@nuist.edu.cn;左洪福 男,博士,教授,博士生导师。主要研究方向:可靠性工程、维修理论、故障诊断与监控等。Tel.:025-84891098 E-mail:rms@nuaa.edu.cn

    通讯作者:

    左洪福,Tel.:025-84891098 E-mail:rms@nuaa.edu.cn

  • 中图分类号: V239;TP274

Aeroengine sensor data reconstruction with missing data

  • 摘要: 为处理传感器数据缺失问题,利用子空间表示系统演化特征,提出了基于极化增量矩阵填充(PIMC)的航空发动机传感器数据的在线重构模型。该模型通过历史数据获得当前的数据特征表示,并用新增的数据不断更新子空间以跟踪并表示数据发展特征。将本文模型用于仿真数据进行验证,重构结果和无噪数据的归一化均方误差(MSE)均小于1×10-5,实验结果显示本文模型对于航空发动机传感器数据重构有很好的应用价值,对缺失数据和噪声是鲁棒的。

     

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出版历程
  • 收稿日期:  2015-05-29
  • 网络出版日期:  2016-05-20

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