基于bayes成功型试验模型的整车试验可靠度分析

Reliability Analysis of Vehicle Testing Based on Bayes Successful Test Model

为解决整车道路及耐久试验存在的试验成本高、样本量不统一、试验周期长、实验数据不够精确等实际问题,依据bayes成功型试验公式及Lipson变换公式,从置信度和可靠度方面分析试验样本量与可靠度、强化系数之间的关系,给出制定最优样本量、强度系数的理论方法.提出在某个置信区间内的可靠度及样本量的确定方案,实现了在设定置信区间及可靠度范围内的样本量最优解.对试验场耐久测试亦或公共道路试验的可靠性指标度量及样本量确定具有实际指导意义.

To solve the practical problems of high test costs,inconsistent sample sizes,long test cycles,and inaccurate experimental data in vehicle road and durability testing,based on the Bayes successful test formula and Lipson exchanged mathod,to analysis the difference from test sample,reliability test,and reinforcement coefficient.to formulated the optimal sample size and strength coefficient is proposed.A scheme for determining the reliability and sample size within a certain confidence interval was proposed,achieving the optimal sample size solution within the set confidence interval and reliability range.The measurement and sample size determination of reliability indicators for durability testing on test sites or public road testing have practical guiding significance.