Abstract
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.
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