An integration Markov/CCMT analytics platform for dynamic reliability and risk analysis of digital process control system is presented in the paper. The Markov/CCMT analytics platform is integrated with a simulation-based testing and matrix-based coding paradigm for automatic generation and unsupervised learning update of probabilistic mapping model and a versatile Markov/CCMT algorithm for multiway search analysis. The capabilities of the integrated Markov/CCMT analytics tool are validated with an example case study of water level control system. The results demonstrate that the features for convenient modeling, updating, and high-performance computing allows the practical and scalable use of Markov/CCMT analytics platform to risk-based reliability modeling and analysis of large complex dynamic systems.

本文提出了一种集成Markov/CCMT分析平台，用于数字过程控制系统的动态可靠性和风险分析。马尔可夫/CCMT 分析平台与基于模拟的测试和基于矩阵的编码范例相集成，用于概率映射模型的自动生成和无监督学习更新，以及用于多路搜索分析的通用马尔可夫/CCMT 算法。集成的 Markov/CCMT 分析工具的功能通过水位控制系统的示例案例研究得到验证。结果表明，方便建模、更新和高性能计算的特性允许将 Markov/CCMT 分析平台实际和可扩展地用于大型复杂动态系统的基于风险的可靠性建模和分析。