Fault Diagnosis of Train Wheels Based on Empirical Mode Decomposition Generalized Energy

被引：2
|
作者：
Chen, Yejian [1 ]
Wang, Xiaolong [1 ]
Zhang, Yong [1 ]
Xing, Zongyi [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, 200 Xiao Ling Wei, Nanjing, Xuan Wu Distric, Peoples R China
来源：
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES FOR RAIL TRANSPORTATION (EITRT) 2017: TRANSPORTATION | 2018年 / 483卷
基金：
国家重点研发计划;
关键词：
IMF; EMD; Safety region boundary; Fault diagnosis;
D O I：
10.1007/978-981-10-7989-4_2
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, a fault diagnosis method of train wheel based on empirical mode decomposition (EMD) generalized energy is proposed. First, EMD is applied to rail vibration signal to obtain the intrinsic mode functions (IMFs) and weight coefficients of each IMF are calculated. Then, quantitative value of EMD generalized energy is determined by calculating weighted sum of IMFs' energy. Finally, the security domain threshold of EMD generalized energy is determined to distinguish faulted wheel. Experiment results by using simulation data showed that the proposed method can distinguish normal and faulted wheels and the accuracy reached above 90%.
引用
收藏
页码：15 / 25
页数：11
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