噪声与振动控制Issue(2)：51-56,6.DOI:10.3969/j.issn.1006-1335.2015.01.013
基于AR功率谱的高速列车转向架故障信号分析
Bogie Fault Signal Analysis of High-speed Trains Based on AR Power Spectrum
摘要
Abstract
The bogie faults and fault types of high-speed trains have an important impact on the safety of train opera-tion. In order to diagnose the bogie fault efficiently, a novel method for feature extraction was proposed by combination of power spectrum with principal component analysis. First of all, the power spectrum evaluation was done using the sample da-ta of the typical fault signals of the bogie, and an array including feature frequency points of a variety of faults was construct-ed. Then, the power spectrum amplitudes of these points were used to constitute a feature vector, and the redundant features were removed by principal component analysis. Finally, the fault type was identified by SVM. As an example, 5 different test points were selected for the testing and satisfactory recognition results were obtained. The correct recognition rate was up to 90%, which verified the effectiveness of this method.关键词
振动与波/故障诊断/高速列车/信号分析/转向架Key words
vibration and wave/fault diagnosis/high speed trains/signal analysis/bogie分类
信息技术与安全科学引用本文复制引用
段旺旺,金炜东..基于AR功率谱的高速列车转向架故障信号分析[J].噪声与振动控制,2015,(2):51-56,6.基金项目
国家自然科学基金重点项目(61134002) （61134002）
