Abstract
In this paper we investigate the data on 178 launched CubeSats and conduct a nonparametric and parametric analysis, where the dead-on-arrival (DOA) cases as well as the subsystem contribution to failure are specifically addressed. Using Maximum Likelihood Estimation, a Single Weibull and a 2-Weibull mixture parametric model are fitted to the non-parametric data. Furthermore, by combining developers’ beliefs on several reliability aspects from a survey conducted in late 2014 with data from past missions, we make a first attempt to correlate space engineering “best guesses” and intuition to actual data. Finally, the probabilistic CubeSat reliability estimation tool is introduced as a method to reduce the infant mortality of CubeSats: CubeSat developers should be able to estimate their required functional testing time on subsystem and system level at an early project stage, while targeting a desired reliability goal on their CubeSat.
Original language | English |
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Title of host publication | Proceedings of the 30th Annual AIAA/USU Conference on Small Satellites |
Subtitle of host publication | Logan, United States |
Number of pages | 12 |
Publication status | Published - 2016 |
Event | 30th Annual AIAA/USU Conference on Small Satellites - Logan, United States Duration: 6 Aug 2016 → 11 Aug 2016 |
Conference
Conference | 30th Annual AIAA/USU Conference on Small Satellites |
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Abbreviated title | SSC16 |
Country/Territory | United States |
City | Logan |
Period | 6/08/16 → 11/08/16 |
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Results of CubeSat Survey on Electrical Interfaces & Reliability
Bouwmeester, J. (Creator) & Langer, M. (Creator), TU Delft - 4TU.ResearchData, 23 Dec 2016
DOI: 10.4121/UUID:591FF8F8-B495-4D1C-9C5C-69F6F85ACE78
Dataset/Software: Dataset