报告详情
Extraction of Strong Periodic Time Frequency Characteristics and Regression Model for High-Speed Railway Track-Vehicle System
编号：53
访问权限：仅限参会人
更新：2024-10-23 10:47:41
浏览：173次
口头报告
报告开始：2024年11月02日 08:30（Asia/Shanghai）
报告时间：20min
所在会场：[P3] Parallel Session 3 [P3-2] Parallel Session 3（November 2 AM）
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摘要
In the process of evaluating the line status using vehicle dynamic response, to address the issue of significant differences in the acceleration response of different high-speed trains under the same track irregularity excitation conditions, a lightweight regression model was constructed to normalize car body acceleration inspection data. Firstly, analyze and extract the periodic characteristics of track geometry and car body acceleration through VMD algorithm. Secondly, using energy distribution, determine the strong correlation between periodic vertical acceleration of car body and track geometry. Finally, a lightweight regression model is constructed to normalize the measured acceleration data of different types of inspection vehicles. The results show that for different comprehensive inspection vehicles, the normalized vertical acceleration of the car body is at the same level.
关键词
Vertical acceleration of the car body; Periodic feature extraction; Variational Mode Decomposition; Inspection differences; normalization
报告人
PengNan
assistant researcher Infrastructure Inspection Research Institute, China Academy of Railway Sciences Corporation Limited稿件作者
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重要日期
-
会议日期
10月31日
2024
至11月03日
2024
-
09月30日 2024
初稿截稿日期
-
11月12日 2024
注册截止日期
主办单位
Anhui University
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
联系方式
- Mrs. icsmd
- ic******@163.com
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