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An Information Optimizing Scheme for Damage Detection in Aircraft Structures

He Xufei1, Deng Zhongmin2, Song Zhitao1

Shanghai Aircraft Airworthiness Certification Center of CAAC, Shanghai, 200335, China
Astronautics School, Beihang University, Beijing, 100191, China

Structural Durability & Health Monitoring 2012, 8(3), 193-208.


This paper describes an information optimizing scheme which is developed by integrating rough set and hierarchical data fusion. The novel structural damage indices are extracted using the information from different sources and then imported into probabilistic neural network (PNN) for classification and health assessment. In order to enhance the accuracy of diagnosis, results from separate PNN classification are fused to achieve comprehensive decision. Rough set is employed to decrease the spatial dimension of data. The predictive accuracy of optimizing scheme is demonstrated on a helicopter, taken as an example, with varied sensors, for multiple damage identification.


Cite This Article

Xufei, H., Zhongmin, D., Zhitao, S. (2012). An Information Optimizing Scheme for Damage Detection in Aircraft Structures. Structural Durability & Health Monitoring, 8(3), 193–208.


This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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