Bayesian health modeling for aerial dynamic system using object-oriented approach

The health modeling for aerial system is a difficult problem, especially when the system is composed of identical or almost identical system, the system parameters and sensors measurements are subject to uncertainty, and the health state of system evolves over time. In order to solve this problem, a novel object-oriented modeling approach is proposed. This approach is based on the Bayesian theory and can provide corresponding algorithms for different levels of system in constructing the dynamic Bayesian network of entire system health step by step in a bottom-up fashion. The effectiveness and robustness of the resulting dynamic Bayesian network are verified through experiments on a particular aerial fuel delivery system.