在多变量线性降解模型的加速降解测试中,应力水平的最佳设计
1Institute for Mathematical Stochastics, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Journal of applied statistics
|February 28, 2024
概括
本研究介绍了与竞争性故障模式进行加速降解测试 (ADT) 的最佳实验设计. 这些设计改善了在正常使用条件下长期使用的系统的可靠性估计.
科学领域:
- 可靠性工程可靠性工程
- 统计建模 统计建模
- 实验设计 实验设计
背景情况:
- 准确的可靠性估计对于具有长寿命 (几年到几十年) 的系统至关重要.
- 加速降解测试 (ADT) 越来越多地用于描述这些可靠性属性.
- 现有的方法可能缺乏效率,特别是对于具有竞争故障模式的系统.
研究的目的:
- 为重复测量提出新的最佳实验设计ADTs.
- 针对具有竞争性故障模式和多个响应组件的系统.
- 在正常使用条件下提高可靠性估计的准确性.
主要方法:
- 利用线性混合效应模型来描述边际降解路径.
- 通过最大限度地减少故障时间分布量数的非对称方差,制定了最佳设计.
- 采用数值示例来证明稳定性并比较效率.
主要成果:
- 建议的最佳设计在数值模拟中显示出强度.
- 与标准实验设计相比,新设计的效率有所提高.
- 实现了复杂系统可靠性属性的有效表征.
结论:
- 开发的最佳实验设计为ADT提供了更准确的方法.
- 这些设计对于具有竞争性故障模式的系统尤其有利.
- 对于长期运行系统,可以实现更高的可靠性估计.
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