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Volume 42 Issue 5
May  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(5): 891-898.
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)
shu

Aeroengine sensor data reconstruction with missing data

doi: 10.13700/j.bh.1001-5965.2015.0350
  • 1.

    College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

  • 2. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

  • Received Date: 29 May 2015
  • Publish Date: 20 May 2016
    Abstract
  • Aiming at handling incomplete sensor data, we propose an online-reconstruction model based on the polar incremental matrix completion (PIMC) algorithm for aeroengine sensor data, which can represent the evolving features of system by subspace. The model extracts the current data feature from the history data and updates the subspace to track the evolving features via new data. The proposed model was validated and compared on two simulated datasets and the normalized mean square errors (MSE) between the reconstruction by PIMC and the ground truth are all less than 1×10-5. The experimental results show that the proposed model is practical for aeroengine sensor data reconstruction, which is robust to missing data and noise.

     

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