Affiliation of Author(s):自动化学院
Journal:Proc. IEEE Int. Conf. Mechatronics Autom., ICMA
Abstract:This paper proposes a diagnosis scheme for detection of position and speed of high-speed trains. The time-frequency analysis carries on the noise reduction processing to the initial signal. Improved fast Fourier transform is used to extract the characteristics of fiber vibration signal. In the part of data processing, the train track is trained by the algorithm of vibration band search, judgment and correction. The data fitting method is used to predict the track of the train with too much disturbance. A data-driven method is used to set the adaptive threshold to deal with the nonlinear problem of optical fiber signals. The simulation part verifies the feasibility of the algorithm. © 2019 IEEE.
Translation or Not:no
Date of Publication:2019-08-01
Co-author:Yan, Xiaoyue,Wang, Li,Wang Liying,Jiang Bin
Correspondence Author:Fuyang Chen
Date of Publication:2019-08-01