摘要
针对传统实测振动数据归纳方法只能处理正态分布数据的问题,引入选择约翰逊曲线的方法,采用约翰逊曲线对非正态情形的实测振动数据进行拟合,给出了非正态情形一定概率下的实测振动数据功率谱密度上限.在此基础上提出了一种可靠性试验实测振动数据的处理方法.将该方法用于某产品可靠性试验实测振动数据的处理中,计算结果表明,该方法不仅能给出任意分布实测振动数据功率谱密度概率上限,而且与传统方法比较,给出的数据上限能更真实反映产品振动环境条件.
To solve the problem of traditional inductive method for measured random vibration data only applying to normal distribution data, the way for selecting the suitable curve in Johnson curves family was introduced, and the method of fitting measured non-normal random vibration data by Johnson curves family was researched. Then, power spectrum density（PSD） upper probability limit of measured non-normal random vibration data was given by using it. Based on these results, a new method for inducing reliability test vibration force was developed. Some product measured random vibration data induction result shows that the method can give a reasonable PSD upper probability limit of measured random vibration data with any distribution successfully. Furthermore, comparing with traditional normal-based data inductive method, the result of the method is more reliable for characterizing Vibration environment condition.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2007年第10期1237-1240,1250,共5页
Journal of Beijing University of Aeronautics and Astronautics
基金
十一五国防预研项目(51319030301)
关键词
可靠性试验
随机振动
非正态分布
约翰逊曲线
reliability test
random vibration
non-normal distribution
Johnson curves
