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通过随机步行在相位空间中的混乱系统的降解建模
Zhendan Lu1,2, Cong Wang1,2, Yawen Zhang1,2
1School of Reliability and Systems Engineering, Beihang University, Beijing, Beijing, China.
Communications engineering
|January 19, 2026
概括
在混乱系统中预测退化是很困难的. 一个新的阶段空间随机步行模型为混乱系统提供了高效和准确的长期退化预测.
科学领域:
- 复杂系统动力学 复杂系统动力学
- 可靠性工程可靠性工程
- 计算建模 计算建模
背景情况:
- 由于对初始条件和复杂动态的敏感依赖,在混乱系统中准确的长期降解预测具有挑战性.
- 传统的数值模型在计算上是密集的,容易产生累积错误,这限制了它们的实际应用.
- 了解降解途径对于电子,机械和机械电子系统的可靠性设计至关重要.
研究的目的:
- 开发一个高效和可通用的框架,用于模拟混乱系统的长期退化.
- 为了克服传统数值方法的计算局限性和错误积累问题.
- 提供对正在退化复杂系统可靠性的新见解.
主要方法:
- 提出了一个相空间随机步行框架,描述局部降解速度分布.
- 短期平均值用于估计降解速度.
- 长期进化是通过在定义的相空间区域的随机过渡来重建的.
主要成果:
- 与传统方法相比,拟议的框架显著提高了两倍以上的计算效率.
- 预测误差保持在5%以下,显示出高精度.
- 分析显示,在系统退化过程中,有不同程度的混乱的动态制度之间发生过渡.
结论:
- 阶段空间随机步行框架为模拟混乱系统中的退化提供了一种高效和可概括的方法.
- 这种方法提高了复杂降解过程的计算性能和预测准确性.
- 这些发现有助于提高电子,机械和机械电子系统的可靠性设计策略.
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