Satellite System Design Optimization Based on Bayesian Melding of Multi-Level Multi-Source Lifetime Information

Yingchun Xu,Xiaohu Zheng,Xiaoqian Chen,Wen Yao

doi:10.1109/access.2019.2929758

Abstract

Satellite System Design Optimization Based on Bayesian Melding of Multi-Level Multi-Source Lifetime Information

Highlights

With the increasing complexity and performance requirement of satellite, reliability becomes more and more important in the satellite system design [1], [2]
The results show that the updated lifetime probability density function (PDF) deviates from the initial given empirical distribution greatly in the early life stage where the failure probability density is large
To properly construct the reliability model which is the foundation of Reliability-based design optimization (RBDO), the multi-source lifetime information integration and reliability modeling method for the complex multi-level satellite system is developed

Summary

Introduction

With the increasing complexity and performance requirement of satellite, reliability becomes more and more important in the satellite system design [1], [2]. To enhance the RBDO effectiveness, the accuracy of the satellite reliability model is of fundamental importance. Due to the limited failure information and small scale production in the space engineering, and because the satellite is generally designed case by case, it remains challenging as how to properly construct the reliability model especially in the early conceptual design phase for a new satellite. Given f1(tθ ) and the logical relationship M , the lifetime distribution of the satellite system can be obtained, denoted as the induced system lifetime distribution f1∗(t ). F1∗(t ) and f2(t ) involve different information but both of them are related to t

Methods

Results

Conclusion