Impact localization method based on the partial least squares regression fractal dimension
CHEN Sibo1,2，PAN Xiaowen1，LIU Jinfu1,2
1.College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
2.Key Laboratory of Fujian Universities for Ecology and Resource Statistics, Fuzhou 350002, China
Aiming at meeting the demand of monitoring the health of aeronautical sheet structures, a distributed sheet structure optical fiber impact loading localization method was proposed based on the fractal box dimension, which can be used to quantitatively describe and characterize the complexity of nonlinear system, behaviors and to measure the irregularity of signals.It is found that the fractal box dimension of the impact response signal spectrum of an optical fiber Bragg grating(FBG) sensor is correlated with the impact distance, and that the impact position is correlated with the optical fiber axial angle, which can be used as a characteristic parameter to achieve the localization of the impact position.In view of the fact that there are such problems as reproducibility and nonlinearity between the fractal box dimension of the impact response signal spectrum and the impact position, the partial least squares regression method was used for the data fusion of multiple sensors to improve the accuracy of impact position prediction.Compared with the time-difference impact localization method, the method proposed has the advantage of no need of a high speed optical fiber grating demodulation equipment.
陈思博1,2，潘晓文1，刘金福1,2. 基于偏最小二乘法分形计盒维数的冲击定位方法[J]. 振动与冲击, 2021, 40(2): 97-102.
CHEN Sibo1,2，PAN Xiaowen1，LIU Jinfu1,2. Impact localization method based on the partial least squares regression fractal dimension. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(2): 97-102.
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