Mission reliability assessment for environment control and life support system of china space station
10.16289/j.cnki.1002-0837.2024.06003
- VernacularTitle:中国空间站环境控制与生命保障系统任务可靠性评估
- Author:
Jie LIAO
1
;
Yingbin LI
;
Xiangyang LIU
;
Weirong WANG
;
Qiaoli XIA
Author Information
1. 中国航天员科研训练中心,北京 100094
- Keywords:
China space station;
Environment control and life support system;
Mission reliability;
Reliability assessment
- From:Space Medicine & Medical Engineering
2024;35(6):346-351
- CountryChina
- Language:Chinese
-
Abstract:
Environment control and life support(ECLS)system is important to living and working of the astronauts in space station.Made mission reliability assessment for ECLS system of China space station before its launch and after three years operation.In the first place,a reliability model was made in unit's reliability contribution principle.Then multiple data resources was used to evaluate component reliability based on Bayes and Weibull model and evaluate system reliability based on CMSR method.The three year mission reliability assessment made a better understanding for ECLS system reliability of China space station with the flight data accumulation and evaluate subsamples increase since flight mission details has been planned.It showed that the on-orbit non-replaceable units of ECLS system has a longer life and higher inherent reliability.Combined the assessment results with the lifetime extension and reliability demands of the on-orbit replaceable units,the weakness and the trend of change of the system life and reliability was discovered.It can provided a more accurate reference for repair maintence arrangement,on-orbit spare parts planning and supplies launching for ECLS system of China space station.The results can support mission reliability of ECLS system of China space station with on-orbit maintenance and replacement and reliability growth of the units of the system in the future.The reliability modeling and date collection methods of similar units can build a more reasonable reliability model and extend data resource for evaluation.
