TY - JOUR
T1 - Prediction of reliability for environmental control and life support systems
AU - Jiang, Haibei
AU - Rodríguez, Luis F.
AU - Bell, Scott
AU - Kortenkamp, David
AU - Capristan, Francisco
N1 - Funding Information:
The authors would gratefully like to acknowledge the generosity of the University of Illinois, the National Aeronautics and Space Administration, the National Science Foundation, and the Illinois Space Grant Consortium in support of this work. The authors would also like to thank several individuals who also contributed to this work, particularly Izaak Neveln, David Kane, and Christian Douglass, who supported this work while partaking in an National Science Foundation Research Experience for Undergraduates.
PY - 2011
Y1 - 2011
N2 - An increasing awareness of life-support system reliability has been noticed in the aerospace community as longterm space missions become realistic objectives. Literature review indicates a significant knowledge gap in the accurate evaluation of the reliability of environmental control and life-support systems. Quantitative determination of system reliability, however, is subject to large data requirements, often limiting their applicability. In an effort to address this issue, this paper presents an approach to reliability analysis for life-support system design. Asimulation tool has been developed with the capability of representing complex dynamic systems with configurable failure rate functions for life-support hardware. This tool has been applied and compared with classical reliability prediction approaches. As a result of this work, it has been determined that typical life-support system configurations are likely to be more reliable than classical approaches might suggest. This is due to an inherent buffering capacity in lifesupport system design, which might be leveraged to improve the cost effectiveness of future life-support system design.
AB - An increasing awareness of life-support system reliability has been noticed in the aerospace community as longterm space missions become realistic objectives. Literature review indicates a significant knowledge gap in the accurate evaluation of the reliability of environmental control and life-support systems. Quantitative determination of system reliability, however, is subject to large data requirements, often limiting their applicability. In an effort to address this issue, this paper presents an approach to reliability analysis for life-support system design. Asimulation tool has been developed with the capability of representing complex dynamic systems with configurable failure rate functions for life-support hardware. This tool has been applied and compared with classical reliability prediction approaches. As a result of this work, it has been determined that typical life-support system configurations are likely to be more reliable than classical approaches might suggest. This is due to an inherent buffering capacity in lifesupport system design, which might be leveraged to improve the cost effectiveness of future life-support system design.
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U2 - 10.2514/1.44792
DO - 10.2514/1.44792
M3 - Article
AN - SCOPUS:79953322628
SN - 0022-4650
VL - 48
SP - 336
EP - 345
JO - Journal of Spacecraft and Rockets
JF - Journal of Spacecraft and Rockets
IS - 2
ER -