You say “Picosat”, I say “'CubeSat”: Developing a better taxonomy for secondary spacecraft

Swartwout, Michael

doi:10.1109/aero.2018.8396755

Cited by 14 publications

(15 citation statements)

References 3 publications

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“…Starting from the outcomes of Step 2, each identified failure mode has to be analyzed in terms of its possibility to happen, following the scale presented in Table 1, which adapts ESA guidelines (ECSS-Q-ST-30-02C) in the range 1-5. Even if for CubeSats it is nowadays possible to retrieve some publicly available data about mission status, type, orbit status, builder type, spacecraft class, and specific failure rate data remain generally unavailable for university CubeSat components [32,33]. With the purpose of increasing a systematic assessment of the occurrence index, failure mode probabilities of occurrence can be grouped in qualitative levels, based on engineering judgments or other reliability analysis performed for similar missions (see Table 2).…”

Section: Defining the Occurrence Indexmentioning

confidence: 99%

A Reliability Engineering Approach for Managing Risks in CubeSats

et al. 2018

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Besides large-scale space missions, the spread of CubeSats for a variety of applications is increasingly requiring the development of systematic approaches for risk management. Being these applications are based on components with low TRL (Technology Readiness Level) or with limited performance data, it is required to define approaches which ensure a systematic perspective. This paper aims to present a reliability engineering approach based on FMECA (Failure Mode, Effects, and Criticality Analysis) to manage CubeSat reliability data and prioritize criticalities early in the design phase. The approach firstly proposes an alpha-numeric coding system to support the identification and labeling of failure modes for typical CubeSats’ items. Subsequently, each FMECA coefficient (i.e., Severity, Occurrence, Detectability) has been linked to the CubeSat’s structural properties, reducing subjectivity by means of techno-centric proxy indicators. The approach has been validated in the design phases of a 6-Units university CubeSat for the observation of M-Dwarf stars and binary systems. The performed analysis supported the design process and allowed to identify the major criticalities of the CubeSat design, as demonstrated in the extended case study included in the paper. The formalized method could be applied to design procedures for nano-satellites, as well as being expanded for research and development in a variety of space missions.

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Section: Defining the Occurrence Indexmentioning

confidence: 99%

A Reliability Engineering Approach for Managing Risks in CubeSats

et al. 2018

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“…This paper proposes an approach for risk assessment for the use of COTS devices in space systems and a potential guideline for their selection. Looking at available data, such as from the University of Saint Louis [2], it can be seen that, especially in the early 2000s, CubeSats have been developed and deployed almost exclusively from universities, as seen in Figure 2. Looking at available data, such as from the University of Saint Louis [2], it can be seen that, especially in the early 2000s, CubeSats have been developed and deployed almost exclusively from universities, as seen in Figure 2.…”

Section: Introductionmentioning

confidence: 99%

“…Looking at available data, such as from the University of Saint Louis [2], it can be seen that, especially in the early 2000s, CubeSats have been developed and deployed almost exclusively from universities, as seen in Figure 2. Looking at available data, such as from the University of Saint Louis [2], it can be seen that, especially in the early 2000s, CubeSats have been developed and deployed almost exclusively from universities, as seen in Figure 2. In fact, the low success rate is not only caused by the use of COTS EEE devices, it is more likely related to the massively reduced preparation time and the reduced missionreliability and quality-assurance activities, which is typical for universities since the teams were mainly composed of students with limited knowledge and available time to support the mission.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment for the Use of COTS Devices in Space Systems under Consideration of Radiation Effects

Budroweit

Patscheider

2021

Electronics

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In this paper, a new approach is presented to assess the risk of using commercial off-the-shelf (COTS) devices in space systems under consideration of radiation effects that can dramatically affect reliability and performance. In the NewSpace era, the use of COTS has become mandatory, since typical space-qualified (class-1) electrical, electronic and electromechanical (EEE) components for space missions are no longer attractive due to their extremely high costs, long lead times and low performance. This paper sets out the usual constraints for COTS devices and proposes a guideline on how to select non-space-qualified components and when class-1 EEE devices are recommended for use.

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“…With the incredible growth in a small spacecraft-and the proximal launch of the 1,000 th CubeSat [9], there are still numerous logistical and technical considerations that need to be explored. The discipline is still quite young as well: questions of nomenclature [10], licensing, deorbiting, and producing orbital debris abound. Some look at small satellites as harbingers of a new space age; others-perhaps-are more concerned with the potential that they may harm a more expensive spacecraft.…”

Section: Introductionmentioning

confidence: 99%