A modeling and analysis strategy of constellation availability using on-orbit and ground added launch backup and its application in the reliability design for a remote sensing satellite

To evaluate the system reliability and the constellation availability of remote sensing satellite, in this study, a novel single satellite availability modeling and analysis strategy using on-orbit backup and ground added launch backup is proposed. First, considering the characteristics of remote sensing satellites, the calculation formulas of constellation availability are given in detail. Then, the process of system reliability modeling is also illustrated step by step. Finally, an availability evaluation example of remote sensing satellite constellation is introduced to show the effectiveness of the proposed method.

[1]  Shun-Peng Zhu,et al.  Probabilistic framework for multiaxial LCF assessment under material variability , 2017 .

[2]  Hou Hong-ta.  Availability analysis for constellation of GNSS based on Markov process , 2014 .

[3]  Qiang Liu,et al.  Probabilistic fatigue life prediction and reliability assessment of a high pressure turbine disc considering load variations , 2017 .

[4]  Yang Zhuopeng.  The Analysis of Constellation Availability for Satellite Navigation System , 2011 .

[5]  Yu Liu,et al.  Reliability-Based Multidisciplinary Design Optimization Using Subset Simulation Analysis and Its Application in the Hydraulic Transmission Mechanism Design , 2014 .

[6]  Weiwen Peng,et al.  Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty , 2016, Reliab. Eng. Syst. Saf..

[7]  Bo Xu,et al.  Orbit determination for remote-sensing satellites using only optical imagery , 2017 .

[8]  S. Mahadevan,et al.  Dependence Assessment in Human Reliability Analysis Using Evidence Theory and AHP , 2015, Risk analysis : an official publication of the Society for Risk Analysis.

[9]  Shun-Peng Zhu,et al.  Mean Stress and Ratcheting Corrections in Fatigue Life Prediction of Metals , 2016 .

[10]  Qiang Sun,et al.  The Modeling and Simulation of Constellation Availability Based on Satellite Reliability , 2014 .

[11]  Hua Zhang,et al.  A concurrent reliability optimization procedure in the earlier design phases of complex engineering systems under epistemic uncertainties , 2016 .

[12]  S. Liang,et al.  Satellite Remote Sensing of Drinking Water Intakes in Lake Erie for Cyanobacteria Population Using Two MODIS-Based Indicators as a Potential Tool for Toxin Tracking , 2017, Front. Mar. Sci..

[13]  Hong-Zhong Huang,et al.  Probabilistic modeling of damage accumulation for time-dependent fatigue reliability analysis of railway axle steels , 2015 .

[14]  Zhangchun Tang,et al.  Surrogate-model-based reliability method for structural systems with dependent truncated random variables , 2017 .

[15]  Hong-Zhong Huang,et al.  Mean-value first-order saddlepoint approximation based collaborative optimization for multidisciplinary problems under aleatory uncertainty , 2014 .

[16]  Ming Jian Zuo,et al.  A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis , 2018, Reliab. Eng. Syst. Saf..

[17]  Hong-Zhong Huang,et al.  Mean Stress and Ratcheting Corrections in Fatigue Life Prediction of Metals , 2016 .

[18]  Sun Xiaoliang.  A Method of Parallel Scheduling for Multitask in Remote-sensing Satellite Ground Application System , 2010 .

[19]  Sankaran Mahadevan,et al.  Combining dependent bodies of evidence , 2015, Applied Intelligence.

[20]  Xueli Chang,et al.  Image jitter detection and compensation using a high-frequency angular displacement method for Yaogan-26 remote sensing satellite , 2017 .