4.7 Article

A Flexible Dynamic Reliability Simulation Approach for Predicting the Lifetime Consumption of Extravehicular Spacesuits during Uncertain Extravehicular Activities

期刊

AEROSPACE
卷 10, 期 5, 页码 -

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MDPI
DOI: 10.3390/aerospace10050485

关键词

extravehicular spacesuit; extravehicular activity; reliability analysis; lifetime consumption

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This paper presents a flexible reliability dynamic simulation model to predict the life loss of extravehicular spacesuits. New life assessment parameters based on geometric analysis are proposed as indicators of spacesuit life loss. Multiple influence factors are used to correct the spacesuit failure rate. The results show the importance of rationalizing the mission duration, frequency, and work intensity of spacesuits for their reliability.
The special use environment and uncertainty of extravehicular activities (EVAs) make it difficult to predict the lifetime consumption of extravehicular spacesuits in the traditional way. This paper presents a flexible reliability dynamic simulation model to predict the life loss of extravehicular spacesuits. Based on the images of traditional reliability change curves, new life assessment parameters, based on geometric analysis, are proposed as indicators of spacesuit life loss. Multiple influence factors are used to correct the spacesuit failure rate. The results of the study show that mission intensity is the main factor affecting the health status of the spacesuit, and the higher the mission intensity, the higher the failure rate. Additionally, the more frequently the spacesuit is used, the more times it is available, however, the overall service time will decrease. Concentrating on the mission at an early stage would lead to a significant and irreversible loss of life. Reliability is higher when more intense work is scheduled later in the EVA. Therefore, it is important to rationalize the mission duration, frequency, and work intensity of spacesuits. These reliability models predict the health status of the spacesuit and assist in optimizing the scheduling of EVA.

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