Recognition Methods of Small Amplitude Hunting in High-speed Trains Based on S-transform

被引：0

作者：

Ning J. ^{[1
]}

Ran W. ^{[1
]}

Chong C. ^{[1
]}

Chen C. ^{[1
]}

机构：

[1] School of Mechanical Engineering, Southwest Jiaotong University, Chengdu

来源：

Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2019年 / 30卷 / 09期

关键词：

High-speed train; Least square support vector machine(LS-SVM); S-transform; Small hunting; Wavelet transform;

D O I：

10.3969/j.issn.1004-132X.2019.09.012

中图分类号：

学科分类号：

摘要：

For the problems that the existing high-speed train monitoring methods did not consider the non-stationary characteristics of vibration signals of the high-speed trains, which caused the trains to lose the hunting stability, based on S-transform a method was proposed to process the high-speed train bogie signals and then extract the features. The LS-SVM was utilized to train and identify the features. The results show that the recognition accuracy of the features based on S-transform is 100%, which is much better than that of the wavelet-transform-based method. Therefore, the proposed method may predict the running states of the high-speed trains in time and ensure the operation security of the trains. © 2019, China Mechanical Engineering Magazine Office. All right reserved.

引用

页码：1097 / 1102and1110

共 15 条

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