Paper
10 January 2018 Research on fiber optic impact load localization based on honeycomb layout and fractal filtering principle
Hongyu Jia, Jie Zeng, Ke Wang, Xiaohua Guo, Xiaojing Gong, Junsong Yu, Yu Li
Author Affiliations +
Proceedings Volume 10618, 2017 International Conference on Optical Instruments and Technology: Advanced Optical Sensors and Applications; 106180A (2018) https://doi.org/10.1117/12.2295290
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China
Abstract
Aiming at the impact damage monitoring requirements of aircraft fuselage and wing structure, in this paper, a fast loading identification method based on fiber Bragg grating (FBG) sensor honeycomb layout form is proposed. Firstly, the FBG honeycomb topology network is constructed, which has good scalability and high monitoring efficiency. Secondly, the impact response signal of fiber grating is processed by fractal filter method, then the energy amplitude of the fifth order wavelet transform is chosen as the characteristic parameter of the impact response. Thirdly, a FBG impact response model is established by using a few prior samples. On that basis, according to the location feature of the fiber sensors, a cell location and coordinate location method based on honeycomb cell is proposed to realize fast impact location for four edges clamped plate structures. The research shows that in a random honeycomb monitoring unit which side length is 250mm, 9 randomly chosen simulated impact points are identified with an average error of about 20mm. This method does not require a large number of prior samples, and is suitable for the conventional low speed fiber grating sampling mode. It has excellent environment adaptability and fast response ability.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongyu Jia, Jie Zeng, Ke Wang, Xiaohua Guo, Xiaojing Gong, Junsong Yu, and Yu Li "Research on fiber optic impact load localization based on honeycomb layout and fractal filtering principle", Proc. SPIE 10618, 2017 International Conference on Optical Instruments and Technology: Advanced Optical Sensors and Applications, 106180A (10 January 2018); https://doi.org/10.1117/12.2295290
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KEYWORDS
Sensors

Fiber Bragg gratings

Fiber optics sensors

Fractal analysis

Filtering (signal processing)

Signal processing

Wavelet transforms

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