基于Bayes的平台罗经维修性评估方法

Stabilized Gyrocompass Maintainability Quantitative Criterions Evaluation based on Bayes

平台罗经属价格贵、批量小的大型复杂导航装备,系统维修性数据较少,不可能应用大样本统计分析方法的情况。为了解决平台罗经维修性指标小样本估计问题,本文采用了检验、模糊Bayes综合评判和Bayes Bootstrap联合方法,计算平台罗经维修性平均修复时间、中位修复时间、最大修复时间等定量指标,并通过仿真算例检验了所运用方法的正确性和有效性。

As the stabilized gyrocompass is an important and complex naval navigation equipment, the large sample statistical methods cannot be applied. The Mean Time To Repair, Equipment Repair Time and the most time to repair etc. of stabilized gyrocompass are calculated by Kolmogorov-Smirnov test, Bayesian, Bayes Bootstrap. The simulation shows that the method is realizable.