Du Yi-Mu, Chen Jin-Fu, Guan Xuefei, Sun C P
Graduate School of China Academy of Engineering Physics, Beijing 100193, China.
Beijing Computational Science Research Center, Beijing 100193, China.
Entropy (Basel). 2021 Mar 15;23(3):348. doi: 10.3390/e23030348.
The degradation and recovery processes are multi-scale phenomena in many physical, engineering, biological, and social systems, and determine the aging of the entire system. Therefore, understanding the interplay between the two processes at the component level is the key to evaluate the reliability of the system. Based on the principle of maximum entropy, an approach is proposed to model and infer the processes at the component level, and is applied to repairable and non-repairable systems. By incorporating the reliability block diagram, this approach allows for integrating the information of network connectivity and statistical moments to infer the hazard or recovery rates of the degradation or recovery processes. The overall approach is demonstrated with numerical examples.
在许多物理、工程、生物和社会系统中，退化和恢复过程是多尺度现象，并决定着整个系统的老化。因此，在组件层面理解这两个过程之间的相互作用是评估系统可靠性的关键。基于最大熵原理，提出了一种在组件层面建模和推断这些过程的方法，并将其应用于可修复和不可修复系统。通过纳入可靠性框图，该方法能够整合网络连通性信息和统计矩，以推断退化或恢复过程的危险率或恢复率。通过数值示例展示了整体方法。
