Directed factor graph based fault diagnosis model construction for mode switching satellite power system
For satellite power system engineers, this provides a systematic way to build probabilistic fault diagnosis models for complex hybrid systems, though it is an incremental application of existing techniques.
The paper proposes a method to construct directed factor graphs from hybrid bond graph models for fault diagnosis in mode-switching satellite power systems, demonstrating feasibility on a power supply module case study.
Satellite power system is a complex, highly interconnected hybrid system that exhibit nonlinear and mode switching behaviors. Directed factor graph is an inference model for fault diagnosis using probabilistic reasoning techniques. A novel approach for constructing the directed factor graph structure based on hybrid bond graph model is proposed. The system components status and their fault symptoms are treated as hypothesis and evidences respectively. The cause-effect relations between hypothesis and evidences are identified and concluded though qualitative equations and causal path analysis on hybrid bond graph model. A power supply module of a satellite power system is provided as case study to show the feasibility and validity of the proposed method.