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Volume 44 Issue 4
Apr.  2018
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Journal of Beijing University of Aeronautics and Astronautics  > 2018  >  44(4): 802-809.
TIAN Heng, DUAN Fuhai, FAN Liang, et al. Multiple fault diagnosis and maintenance strategy based on testability D matrix[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(4): 802-809. doi: 10.13700/j.bh.1001-5965.2017.0225(in Chinese)
Citation: TIAN Heng, DUAN Fuhai, FAN Liang, et al. Multiple fault diagnosis and maintenance strategy based on testability D matrix[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(4): 802-809. doi: 10.13700/j.bh.1001-5965.2017.0225(in Chinese)
shu

Multiple fault diagnosis and maintenance strategy based on testability D matrix

doi: 10.13700/j.bh.1001-5965.2017.0225
  • 1.

    School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China

  • 2.

    Aviation Key Laboratory of Science and Technology on Inertia, AVIC Xi'an Flight Automatic Control Research Institute, Xi'an 710065, China

Funds:

Aeronautical Science Foundation of China 20150863003

More Information
  • Corresponding author: DUAN Fuhai, E-mail: duanfh@dlut.edu.cn
  • Received Date: 13 Apr 2017
  • Accepted Date: 19 May 2017
  • Publish Date: 20 Apr 2018
    Abstract

  • In view of the complicated multiple fault diagnosis problems and difficulties in the realization of multiple fault direct processing algorithm, on the basis of testability D matrix and single fault algorithm, a novel multiple fault diagnosis and maintenance strategy based on translating into single fault (MFDMSTS) is introduced. Firstly, under the assumption of multiple faults, disjunctive operation is introduced, and isolable single fault and isolable multiple faults are defined. According to the definitions, single fault, which composes a new D matrix with test set, is translated into from multiple faults. Secondly, single fault diagnosis algorithm is used to process the new D matrix, and the optimal diagnostic tree is obtained. Finally, a further multiple fault diagnosis and maintenance strategy is proposed for different leaf nodes in the diagnostic tree. Experimental verification demonstrates that MFDMSTS is an effective way to reduce average diagnostic cost and average diagnostic steps, and to greatly reduce the rate of maintenance error.

     

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