剩余的使用寿命 (RUL) 预测基于对变的两相非线性维纳降解过程.
Lijun Sun1, Yuying Liang1, Zaizai Yan1
1College of Science, Inner Mongolia University of Technology, Hohhot 010051, China.
Entropy (Basel, Switzerland)
|April 26, 2025
概括
这项研究引入了一个新的框架,用于预测复杂系统中的产品寿命. 它使用多相维纳过程模型来改进可靠性分析和用于增强工程实践的剩余使用寿命 (RUL) 预测.
科学领域:
- 工程 工程师 工程师 工程师
- 统计 统计 统计 统计
- 可靠性理论可靠性理论
背景情况:
- 航空航天和相关行业看到产品可靠性和寿命的提高.
- 传统模型在现代产品中与复杂的非线性降解作斗争.
- 在服务期间准确预测产品寿命越来越重要.
研究的目的:
- 提出一个框架,用于多性能,多相维纳过程建模.
- 提高复杂降解过程的产品的可靠性分析.
- 开发准确的方法来预测剩余的使用寿命 (RUL).
主要方法:
- 引入了一个两相非线性维纳降解模型.
- 使用施瓦兹信息标准 (SIC) 确定了变化点.
- 通过使用首次撞击时间 (FHT) 概念和 copula 函数来计算性能指数相关性来推导 RUL.
主要成果:
- 开发了RUL的分析公式,考虑在变化点上的随机降解.
- 使用Akaike信息标准 (AIC) 和copula函数进行参数估计.
- 介绍了一种用于估计不确定的模型参数的两步方法.
结论:
- 拟议的框架推进了可靠性理论和工程实践.
- 多相维纳过程模型有效地处理复杂的降解.
- 案例研究验证证明了该框架在可靠性工程中的实际适用性.
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