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Volume 41 Issue 9
Sep.  2015
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Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(9): 1651-1658.
LIANG Kun, ZUO Hongfu, SUN Jianzhong, et al. Application of multiple linear regression to fault diagnosis of bleed air system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(9): 1651-1658. doi: 10.13700/j.bh.1001-5965.2014.0633(in Chinese)
Citation: LIANG Kun, ZUO Hongfu, SUN Jianzhong, et al. Application of multiple linear regression to fault diagnosis of bleed air system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(9): 1651-1658. doi: 10.13700/j.bh.1001-5965.2014.0633(in Chinese)
shu

Application of multiple linear regression to fault diagnosis of bleed air system

doi: 10.13700/j.bh.1001-5965.2014.0633
  • 1.

    College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

  • 2. College of Transportation, Huaiyin Institute of Technology, Huaian 22300

  • 3. Xiamen Airlines, Xiamen 361006, China

  • Received Date: 15 Oct 2014
  • Publish Date: 20 Sep 2015
    Abstract
  • To solve the fault diagnosis problem of civil aircraft systems by utilizing quick access record(QAR) data, with the civil aircraft bleed air system as the research object, we proposed a fault detection method of multiple linear regression model for multi-flight cycle data characteristics. Firstly, the multi-linear regression model of bleed air system performance was established for multi-flight cycles data and the fault detection method of flight cycles and flight cycle's interior was designed. Then the model parameters were estimated by maximum posteriori method. Finally, the maximum posteriori estimation algorithm of the model parameters was designed for multi-flight cycle data. With simulated data and actual flight data collected by airlines, the method was validated. The results show the method's feasibility and application value in engineering practice.

     

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