Aggregated Markov-based reliability analysis of multi-state systems under combined dynamic environments
Aggregated Markov-based reliability analysis of multi-state systems under combined dynamic environments
复制标题
组合动态环境下多状态系统基于聚合马尔可夫的可靠性分析
DOI：
10.1002/qre.2584
复制
发表时间：
--
影响因子：
2.3
通讯作者：
Xueying Song
中科院分区：
文献类型：
--
作者：
Xujie Jia;Liudong Xing;Xueying Song
在不同的环境下，系统的可靠性可能会有很大的差异。然而，现有的工作要么在系统可靠性分析中忽略了环境因素，要么在二元系统或单一环境（参数）的系统中考虑了环境因素。在本文中，我们通过建模一个运行在受多个环境参数影响的混合动态环境下的多状态系统做出了贡献。利用有限状态的不同马尔可夫链来表示随机系统行为和动态环境，从而形成一个聚合马尔可夫过程，对整个系统行为进行建模。提出了一种基于状态划分和状态聚合的系统可靠性指标评估方法，包括可靠性、可用性、多点可用性和基于环境的可靠性。通过对一个高压均质机系统的分析，验证了所提出的模型，并比较了系统在固定环境和动态环境下的可靠性。
Reliability of a system may differ greatly when operating under different environments. However, the existing works have either neglected the environment factor in system reliability analysis or considered this factor for binary systems or systems subject to a single environment (parameter). In this paper, we make contributions by modeling a multi‐state system operating under hybrid dynamic environments affected by multiple environmental parameters. Different Markov chains with finite states are used to represent the random system behavior and dynamic environments, leading to an aggregated Markov process that models the overall system behavior. An effective approach based on state partitions and aggregations is suggested for assessing the system reliability indexes, including reliability, availability, multi‐point availability, and environment‐based reliability. A high‐pressure homogenizer system is analyzed to demonstrate the proposed model and show the comparison of the reliability of system under fixed and dynamic environment.