推断和最佳设计的k级阶段应力加速寿命测试基于渐进式I型间隔审查功率雷利数据的推断和最佳设计
Hatim Solayman Migdadi1, Nesreen M Al-Olaimat2, Omar Meqdadi3
1Department of Mathematics, Faculty of Science, The Hashemite University, Zarqa 13133, Jordan.
Mathematical biosciences and engineering : MBE
|December 21, 2023
概括
本研究介绍了动力雷利分布,用于步骤压力加速寿命测试,并进行渐进式审查. 新模型提供了准确的参数估计和高效的寿命测试设计.
科学领域:
- 可靠性工程可靠性工程
- 统计建模 统计建模
- 加快生命测试加速生命测试
背景情况:
- 加速寿命测试 (ALT) 对于在正常使用条件下估计产品可靠性至关重要.
- 渐进型I型间隔审查是可靠性研究中常见的数据收集方法.
- 雷利分布是生命周期数据的广泛使用的模型,但存在局限性.
研究的目的:
- 引入和应用雷利分布的新泛化,即功率雷利分布 (PRD),用于在步压力ALT中建模生命周期数据.
- 在渐进型I型间隔审查数据下开发参数估计的统计方法.
- 优化生命测试的设计,使用最佳性标准来提高估计效率.
主要方法:
- 利用电力雷利分布 (PRD) 在阶段应力条件下模拟单元寿命.
- 用于点估计的最大概率估计 (MLE) 和用于间隔估计的重新抽样.
- 应用了基于费舍尔信息矩阵的D-最佳性和A-最佳性标准,以实现最佳测试设计.
主要成果:
- 对PRD参数的点估计显示了小的平均平方误差的准确性.
- 间隔估计表明小长度和覆盖概率接近95%的显著程度.
- 为了提高估计效率,确定了最佳的检查时间和压力水平.
结论:
- 动力雷利分布是有效的建模生命周期数据在步骤压力ALT与渐进式审查.
- 建议的估计方法和最佳设计标准导致更有效的可靠性评估.
- 开发的程序使用现实世界数据集进行了验证.
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