Author:
Geng Yixuan,Wang Zhipeng,Jia Limin,Qin Yong,Chen Xinan
Funder
Fundamental Research Funds for the Central Universities
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference41 articles.
1. Fault diagnosis of high-speed train bogie based on deep neural network;Zhang;IFAC-PapersOnLine,2019
2. High speed train bogie fault signal analysis based on wavelet entropy feature;Qin;Adv. Mater. Res., Trans. Tech. Publ.,2013
3. Extracting fault features of high-speed train bogies using copula function;Jin;J. Southwest Jiaotong Univ.,2015
4. Maintenance of bogie components through vibration inspection with intelligent wireless sensors: a case study on axle-boxes and wheel-sets using the empirical mode decomposition technique;Trilla;Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit.,2016
5. G. Xiantai, M. Shiheng, J. Weidong, L. Xiao, Fault type recognition of High-speed train bogie based on dual-channel integration of information entropy, in: 2016 2nd IEEE Int. Conf. Comput. Commun., 2016, pp. 1880–1884. https://doi.org/10.1109/CompComm.2016.7925028.
Cited by
40 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献