基于试验数据的性能裕量及其不确定性量化方法

Methods of quantifying performance parameter margins and uncertainties based on test data

摘要:

在QMU方法中，对性能参数的裕量及其不确定性进行量化的结果将作为QMU评估的输入量。为了开展性能裕量及不确定性量化方法研究，文章首先根据获得的性能裕量结果的不同表示形式，给出了优良指数相应的计算方法，然后通过试验数据确定某部件关键性能参数随时间的变化规律。最后提出了基于统计理论的性能参数裕量及其不确定性量化的通用方法，并给出了相应的实例。

Abstract:

Because quantification outcomes of primary performance parameter margins and uncertainties are inputs to a Quantification of Margins and Uncertainties(QMU) analysis，the method research of quantifying performance parameter margins and uncertainties plays an important role in QMU. In this paper, relative computing methods for figures of merit are presented according to different expressions of performance margin outcome. The changing trend of the key performance parameters over time for some component is determined by test data. The general method of quantifying performance parameter margins and uncertainties based on statistics theory is proposed. At last a relative example is introduced.