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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2018, Vol. 39 ›› Issue (11): 322433-322443.doi: 10.7527/S1000-6893.2018.22433

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

Airframe damage region dynamic division based on structural tensor characteristics

SHI Lizhong   

  1. College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China
  • Received:2018-06-08 Revised:2018-07-09 Online:2018-11-15 Published:2018-08-27
  • Supported by:
    Aeronautical Science Foundation of China (20151067003)

Abstract: To improve the intelligentization level of maintenance analysis of aircraft structural damage, and realize the reconfiguration of aircraft structure damage model efficiently, an airframe damage region dynamic threshold division method based on structural tensor characteristics is proposed. By introducing the structural tensor theory, local image color structure and texture features are represented to complete the feature representation of damage images. And by constructing the same-distribution structure tensor feature space, the damage region division consistency process of different damage images is constructed. On the basis, the dynamic threshold division operators are defined. By computing the parameters of dynamic threshold division operators, the dynamic threshold division of structural tensor feature space is realized. Finally, a contrast verification is performed using different airframe structural damage images. The result shows that comparing with the traditional gray method, the fixed threshold division method and the other dynamic threshold division operators, ellipse operator shows better quality of division. And its damage region boundary is coherent and complete. Tiny cracks can be divided effectively with less noise. The method efficient in operation, and consistent in process showing high applicability to different types of structural damage.

Key words: airframe damage region division, structural tensor characteristics, dynamic threshold division method, dynamic threshold division operator, intelligent maintenance

CLC Number: