在使用洛马克斯分布的阶段性部分加速寿命测试下对三重模块冗余系统的可靠性分析
Laila A Al-Essa1, Alaa H Abdel-Hamid2, Tmader Alballa1
1Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Scientific reports
|September 7, 2023
概括
本研究估计了使用阶段应力加速寿命测试的三重模块冗余 (TMR) 系统的可靠性参数. 最大概率方法被证明是分析TMR系统可靠性和平均剩余寿命的最准确方法.
科学领域:
- 可靠性工程可靠性工程
- 统计分析 统计分析
- 容错系统 容错系统
背景情况:
- 三重模块冗余 (TMR) 对安全关键系统的故障耐受性至关重要.
- 加速寿命测试 (ALT) 用于评估压力下部件和系统的可靠性.
- 了解压力下的TMR系统行为对于提高安全性和可靠性至关重要.
研究的目的:
- 估计 TMR 系统在步骤应力部分加速寿命测试 (SSPLT) 下的分布参数.
- 分析使用 Lomax 分布组件的 TMR 系统的可靠性和平均剩余寿命.
- 为了比较各种参数估计技术,并确定最佳的应力变化点.
主要方法:
- 使用步骤应力部分加速寿命测试 (SSPLT) 与组件的洛马克斯分布.
- 应用的估计技术:最大概率 (ML),百分位数 (P),最小平方 (LS) 和最大间隔积 (MPS).
- 确定最佳应力变化时间和验证方法,使用蒙特卡洛模拟和真实数据.
主要成果:
- 与P,LS和MPS相比,最大概率 (ML) 估计方法显示出更高的准确性和性能.
- 根据两个不同的标准,确定了最佳的应力变化时间.
- 该研究成功估计了TMR系统的可靠性和平均剩余寿命参数.
结论:
- 建议使用ML方法在SSPLT下的TMR系统中进行参数估计.
- 准确的参数估计提高了关键系统的可靠性和安全性.
- 这项研究为在安全关键的行业中实施强大的TMR系统提供了宝贵的见解.
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