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北京航空航天大学 仪器科学与光电工程学院 北京,100191
收稿日期:2010-04-12,
修回日期:2010-07-14,
网络出版日期:2011-01-22,
纸质出版日期:2011-01-22
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晁代宏, 马静, 陈淑英. 应用多元性能退化量评估光纤陀螺贮存的可靠性[J]. 光学精密工程, 2010,19(1): 35-40
CHAO Dai-hong, MA Jing, CHEN Shu-ying. Assessment of storage reliability for FOGs by multivariate degradation data[J]. Editorial Office of Optics and Precision Engineering, 2010,19(1): 35-40
晁代宏, 马静, 陈淑英. 应用多元性能退化量评估光纤陀螺贮存的可靠性[J]. 光学精密工程, 2010,19(1): 35-40 DOI: 10.3788/OPE.20111901.0035.
CHAO Dai-hong, MA Jing, CHEN Shu-ying. Assessment of storage reliability for FOGs by multivariate degradation data[J]. Editorial Office of Optics and Precision Engineering, 2010,19(1): 35-40 DOI: 10.3788/OPE.20111901.0035.
采用基于多元性能退化量的评估方法研究了光纤陀螺贮存可靠性。首先
采用协方差矩阵分析了量化多元性能退化量的相关性并利用联合概率密度函数表征产品失效概率密度
由此给出了基于多元性能退化量的产品可靠性评估的一般方法。接着
在对光纤陀螺进行特性分析的基础上选取零偏、零偏稳定性和标度因数作为性能退化参数
开展贮存试验并获取在一定贮存条件下的性能退化数据。最后
采用基于多元性能退化量的可靠性评估方法对光纤陀螺进行可靠性评估
得到了光纤陀螺贮存可靠性指标。贮存条件为60 ℃
考虑性能退化参数相关性时
光纤陀螺贮存寿命为32 800 h;假设性能退化参数间相互独立时
贮存寿命为13 200 h。结果表明
当产品具有多个性能退化参量时
基于多元性能退化量的评估方法得到的可靠性指标更加合理。
Storage reliability of Fiber Optical Gyroscopes(FOGs) was studied based on a multivariate degradation data method. Firstly
the dependence of multivariate performance degradation data was analyzed by means of the covariance matrix and the failture probability of products was characterized by a joint probability density function. From that
an universal method to evaluate product reliability via multivariate degradation data was achieved. Based on the characteristics of FOGs
the bias
bias stability and factor change were selected as degradation parameters
and a related storage test was carried out to obtain the performance degradation data. The storage reliability of FOGs was assessed by multivariate degradation data. Obtained results show that
in ambient environment of 60 ℃
the storage life is about 32 800 h and 13 200 h as considering the dependence and independence of FOGs multivariate degradation data
respectively.These data demonstrate that the reliability evaluating method from multivariate degradation data is more reasonable
and it can be extended to other product assessments with multivariate degradation parameters.
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