摘要
横向减振器是转向架中的重要部件,对其性能退化评估可以更为有效地服务于设备主动维护。为此提出了基于聚合经验模态分解的经验模态互相关分析方法,并定义了经验模态互相关系数,用于描述两信号在时频域上的互相关关系。利用该方法对高速列车转向架的横向减振器性能退化数据（90%~10%）进行了特征提取及分析。将退化程度分为四个退化区间进行分类,平均准确率为95.2%,在一定程度上实现了对待测样本退化程度的定量评估,验证了所提出方法的可行性和有效性。
Lateral dampers are important components in the bogies of high- speed trains. Assessment of the performance degradation of the lateral dampers is very helpful for active maintenance of equipment. In this paper, the empirical mode cross- correlation method（EMCC） was developed based on Ensemble Empirical Mode Decomposition（EEMD）, and the EMCC coefficient was defined to describe the cross- correlation between any two signals in the time domain. The proposed method was applied to extract and analyze the feature of vibration signals of the lateral damper performance degradation（from 90 % to 10 %） of high-speed train bogies. The lateral damper performance degradation were divided into four degeneration intervals, the average precision was 95.2 %. Thus, quantitative degradation assessment of sample data was realized. And the feasibility and validity of this method was verified.
出处
《噪声与振动控制》
CSCD
2015年第2期57-60,共4页
Noise and Vibration Control
基金
国家自然科学基金重点项目(61134002)
关键词
振动与波
高速列车
经验模态互相关系数
经验模态互相关分析
性能退化
特征提取
vibration and wave
high-speed train
empirical mode cross-correlation coefficient
empirical mode cross-correlation method
performance degradation
feature extraction
