在线连续的k-out-of-n:G系统中,通过累积的剩余 Tsallis entropy 来量化基于的不确定性
Boshra Alarfaj1, Mohamed Kayid1, Mashael A Alshehri2
1Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Entropy (Basel, Switzerland)
|October 28, 2025
概括
本研究引入了一个新的框架,使用累积余 Tsallis (CRTE) 来量化复杂系统中的不确定性. 这些发现为可靠性分析和工程应用提供了实用工具.
科学领域:
- 工程 工程师 工程师 工程师
- 信息理论 信息理论
- 可靠性分析可靠性分析
背景情况:
- 在可靠性分析的复杂系统中,量化不确定性至关重要.
- 现有的方法在大规模或非标准的生命周期场景中面临挑战.
研究的目的:
- 开发一个信息理论框架来分析连续的线性 k-out-of-n:G 系统.
- 引入累积余 Tsallis (CRTE) 作为一种不确定性量化工具.
主要方法:
- 导出了CRTE的一般分析表达式.
- 在随机排序关系下研究了CRTE行为.
- 确定不确定性量化和可靠性评估的分析界限.
主要成果:
- 开发了基于CRTE的非参数测试,用于具有已确定的非对称分布的分散排序.
- 通过蒙特卡洛模拟验证统计属性.
- 使用真实生活数据证明了实际应用.
结论:
- CRTE为可靠性建模和不确定性量化提供了一种多功能和计算可行的方法.
- 该框架为关键系统的边界分析,表征和推理提供了有效的工具.
关键词:
连续的 k-out-of-n:G 系统.累积剩余的 Tsallis 的.分散的订单测试测试分散的订单测试.基于的不确定性量化量化.信息理论可靠性信息理论可靠性生命周期数据分析数据分析可靠性建模的可靠性建模随机排序是指随机的排序.更多相关视频
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