Redundancy optimization of standby phased-mission systems

Redundancy technology is an effective method to improve the reliability of phased-mission systems. This paper proposes a reliability compute model of cold-standby phased-mission systems with their components have two states and components´ failure rate obey exponential distributing. Based on this, it establishes redundancy optimization of the standby phased-mission considering systems reliability, space, weight and cost. And then it adopts particle swarm optimization to solve the model. The case validates the model´s rationality and the arithmetic´s validity.