Directed factor graph based fault diagnosis model construction for mode switching satellite power system

TL;DR

This paper proposes a novel method for constructing directed factor graphs based on hybrid bond graph models to improve fault diagnosis in complex, mode-switching satellite power systems.

Contribution

It introduces a new approach to build directed factor graph structures from hybrid bond graphs for fault diagnosis in satellite power systems.

Findings

Successful case study on satellite power system module

Effective identification of cause-effect relations

Feasibility demonstrated through qualitative analysis

Abstract

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.