Algorithm based on Bayesian networks for GO methodology

The GO methodology is an efficient technique for modelling reliability of complex system with multi-states and time serial characteristics. However, it contains variant operators with complex logic, and the algorithm is complicated without tool supporting, which impact the application of the GO methodology in engineering. Therefore, a new algorithm based on Bayesian networks (BNs) is proposed. Firstly, the mapping regulation is defined from GO operators to the node of BNs. Then, the algorithm of mapping a complete GO model to corresponding BNs is proposed. Finally, the model is resolved with mature BNs toolbox. With the proposed unified operator mapping rules and simple concise model transformation procedures, the new algorithm is concise and easy to apply in real engineering scenarios. Based on the mapped BNs, conventional analysis can be performed directly, moreover, the new algorithm adds a new capability of fault diagnosis to the GO methodology.