摘要
提出一种考虑异常数据剔除的产品可靠性评估方法,主要是依据异常数据剔除准则将由试验误差和样本分散性造成的异常数据予以剔除。基于加速退化试验数据外推产品伪寿命数据获取产品寿命数据,并对寿命数据进行分布拟合优度检验确定寿命最优分布。结合工程中常用加速模型利用最小二乘估计法进行模型参数估计,将高应力下伪寿命折算到正常应力水平下的寿命值,再依据异常数据剔除准则将不合群寿命数据予以剔除。然后将寿命数据进行分布拟合得到产品寿命分布,进而对产品进行可靠性评估以及可靠寿命估计。以某型加速度计为例验证了所提出的方法适用性和有效性。
A method of evaluation product reliability in consideration of abnormal data removal is proposed in accordance with the abnormal data rejection criteria that the abnormal data caused by the test error and the sample dispersion can be removed.Firstly,the paper obtains a product life data based on extrapolating product pseudo life data by accelerating degradation test data,and the optimal distribution of the life time is determined by the distribution goodness of fit test of the lifetime data.And then,the paper estimates the parameters of the model by utilizing the least square estimation method combined with the normally used acceleration model,converts the pseudo life under the high force into a life value under normal stress level,and removes the unsocial life data according to the abnormal data elimination criteria.At last,the life distribution of the product is obtained by distribution fitting of the life data,and the reliability and the reliable life of the product is evaluated.The applicability and the effectiveness of the proposed method are verified by using a certain type of accelerometer as an example.
作者
魏高乐
陈志军
WEI Gaole CHEN Zhijun(Equipment Management and Safety Engineering College,Air Force Engineering University,Xi＇an 710051, China)
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
2016年第5期31-36,共6页
Journal of Air Force Engineering University(Natural Science Edition)
