摘要
轨道交通车辆振动加速度实测数据具有很强的非正态性,利用约翰森法则改进振动数据归纳标准,并提出具有普适性的振动环境谱归纳技术.利用实测数据进行计算,对比改进前后方法的差异,并检验该归纳技术的普适性.结果表明,改进的方法能适应非正态环境,归纳谱能反映实际振动情况.
The measured acceleration data of vibration in rail vehicles show strong non-normality, and Johnson's law is used to improve the criterion of inducing vibration data. A universal induction method of vibration spectrum is proposed in this paper. By using the measured data, the difference between the ordinary method and the modified method is compared, and the universality of the method is tested. The results show that the modified method can adapt to the non-normal environment and the induced spectrum can reflect the actual vibration.
作者
邓辰鑫
周劲松
宫岛
罗敏
DENG Chenxin;ZHOU Jinsong;GONG Dao;LUO Min(Institute of Railway Transit, Tongji University, Shanghai 201804, China)
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2019年第10期1514-1519,共6页
Journal of Tongji University:Natural Science
基金
国家自然科学基金(51805373)
关键词
轨道车辆
随机振动
功率谱
非正态数据处理
rail vehicle
random vibration
power spectrum
process of abnormal data
