Multistate Satellite System Reliability Optimization Based on Improved Compression Inference Algorithm and Bayesian Network

No doubt that the proper design of satellite system reliability is one of the most important issues in satellite system engineering. In order to optimize the satellite reliability, the reliability optimization method is studied in this paper based on compression algorithm, Bayesian Network (BN) and Particle Swarm Optimization (PSO). Firstly, the improved compression inference algorithm (ICIA) is proposed to model the BN reliability model of multistate system based on the existing compression and inference algorithms. Then, the reliability optimization problem is formulated, which is a typical discrete optimization problem with the discrete reliability measured in the number of each component's units as design variables. The process of optimization, based on the BN reliability model of multistate satellite system will be achieved by PSO. The efficacy of the proposed method is demonstrated in a microsatellite system reliability optimization, which verifies the importance of satellite reliability optimization in decreasing the cost of satellite development.