Abstract
The paper presents a framework of Markov/CCMT search engine platform for dynamic system reliability modeling and analysis. The search engine platform implemented with a versatile Markov/CCMT algorithm that supports multiple search modes including forward-tracing, backtracking and bidirectional search. The scalability and practicality of the proposed bidirectional search algorithm is demonstrated with a Boiling Water Reactor feedwater control system. The comparisons of multiway search analysis indicate that the complete and optimal solutions can be assured in the implementation of Markov/CCMT algorithm using breadth first search. The bidirectional search algorithm implemented with forward-backward integration by allowing the use of pruning criterion is well supported for search efficiency improvement.
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