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所属单位：自动化学院
发表刊物：Proc. IEEE Int. Conf. Mechatronics Autom., ICMA
摘要：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.
是否译文：否
发表时间：2019-08-01
合写作者：Yan, Xiaoyue,Wang, Li,汪丽影,姜斌
通讯作者：陈复扬