| Other Abstract | With the development of the times and the progress of science and technology, and the establishment of large-scale complex systems, reliability and safety issues have been paid more and more attention by people, its research has important practical significance for the optimization of equipment and the improvement of performance. many real-world systems exist sequences and functionally related failure behavior, traditional fault tree analysis method can not model the above fault behavior, dynamic fault tree can model the dynamic system with random failure behavior. Therefore, this paper based on the dynamic fault tree method to study the reliability of non repairable complex system.Dynamic fault tree model is robust to the system reliability modeling of sequence related faults, But their quantitative analysis is very cumbersome, existing state-space method, simulation methods and the method of combination (mainly include I/E and SDP method), these methods either suffer from the "combinatorial explosion" problem and are subject to a component specific lifetime distribution, either when the result is required to have a higher precision, it often takes a long time to calculate. In addition, using dynamic fault tree method for the reliability of the large complex system modeling, its large amount of computation, and calculation of the failure probability of the top event will often appear NP difficult problem. In view of the shortcomings of the existing methods for solving the complex system reliability, in this paper, a hybrid method of BDD-ISBDD is proposed to model the reliability of non repairable dynamic systems, firstly, we use linear search algorithm to dynamic fault tree is decomposed into several independent static sub-trees and dynamic sub-tree, then respectively introduces static sub-tree evaluation method based on BDD, and based on Markov, Monte-Carlo, ISBDD dynamic sub-tree evaluation method, etc, the comprehensive analysis results of each sub-tree to get the reliability of the whole system. At the end of this paper, a case study is presented to show the application and advantages of the proposed method, firstly, the method has no limitation on the structure of the system and the lifetime distribution of the components, in addition, this method can get the accurate solution of system reliability, Especially in the large scale complex system reliability modeling, both reduce the storage space, but also improve the efficiency of the calculation. |
