Single‐event upsets in the Cluster and Double Star Digital Wave Processor instruments

Yearby, K. H.; Balikhin, M. A.; Walker, S. N.

doi:10.1002/2013sw000985

Cited by 8 publications

(2 citation statements)

References 15 publications

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“…(123,124) Energetic electrons trapped in the outer radiation belt cause electrostatic charging and discharging, which can damage sensitive electronic equipment and solar panels. (125)(126)(127)(128)(129) SEPs can cause displacement damage (reducing device performance) and single event effects (SEEs), (130)(131)(132) which are a growing issue as devices are miniaturized. (17) During the 2003 Halloween storms, 47 satellites reported anomalies (out of 450 in orbit, i.e., ß10%), one scientific satellite was lost, and 10 satellites lost operational service for more than one day.…”

Section: Satellite Infrastructurementioning

confidence: 99%

The Economic Impact of Space Weather: Where Do We Stand?

et al. 2017

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Space weather describes the way in which the Sun, and conditions in space more generally, impact human activity and technology both in space and on the ground. It is now well understood that space weather represents a significant threat to infrastructure resilience, and is a source of risk that is wide-ranging in its impact and the pathways by which this impact may occur. Although space weather is growing rapidly as a field, work rigorously assessing the overall economic cost of space weather appears to be in its infancy. Here, we provide an initial literature review to gather and assess the quality of any published assessments of space weather impacts and socioeconomic studies. Generally speaking, there is a good volume of scientific peer-reviewed literature detailing the likelihood and statistics of different types of space weather phenomena. These phenomena all typically exhibit "power-law" behavior in their severity. The literature on documented impacts is not as extensive, with many case studies, but few statistical studies. The literature on the economic impacts of space weather is rather sparse and not as well developed when compared to the other sections, most probably due to the somewhat limited data that are available from end-users. The major risk is attached to power distribution systems and there is disagreement as to the severity of the technological footprint. This strongly controls the economic impact. Consequently, urgent work is required to better quantify the risk of future space weather events.

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Section: Satellite Infrastructurementioning

confidence: 99%

The Economic Impact of Space Weather: Where Do We Stand?

et al. 2017

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“…These energetic particles can induce SEUs either by direct ionization or by indirect ionization [2]. Since the particle flux directly determines the SEU rate of an electronic system, based on the data obtained from past space missions [3] [4], the SEU rate may increase hundreds to thousands of times during the SPE peak periods. Thus, it is important to track the variation in particle flux in real-time, and consequently activate the suitable mitigation techniques to protect the sensitive elements in the on-board electronic systems.…”

Section: Introductionmentioning

confidence: 99%

Solar Particle Event and Single Event Upset Prediction from SRAM-based Monitor and Supervised Machine Learning

Chen

Lange

Andjelković

et al. 2022

IEEE Trans. Emerg. Topics Comput.

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The intensity of cosmic radiation may differ over five orders of magnitude within a few hours or days during the Solar Particle Events (SPEs), thus increasing for several orders of magnitude the probability of Single Event Upsets (SEUs) in spaceborne electronic systems. Therefore, it is vital to enable the early detection of the SEU rate changes in order to ensure timely activation of dynamic radiation hardening measures. In this paper, an embedded approach for the prediction of SPEs and SRAM SEU rate is presented. The proposed solution combines the real-time SRAM-based SEU monitor, the offline-trained machine learning model and online learning algorithm for the prediction. With respect to the state-of-the-art, our solution brings the following benefits: (1) Use of existing on-chip data storage SRAM as a particle detector, thus minimizing the hardware and power overhead, (2) Prediction of SRAM SEU rate one hour in advance, with the fine-grained hourly tracking of SEU variations during SPEs as well as under normal conditions, (3) Online optimization of the prediction model for enhancing the prediction accuracy during runtime, (4) Negligible cost of hardware accelerator design for the implementation of selected machine learning model and online learning algorithm. The proposed design is intended for a highly dependable and self-adaptive multiprocessing system employed in space applications, allowing to trigger the radiation mitigation mechanisms before the onset of high radiation levels.

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Design and analysis of an adaptive radiation resilient RRAM subsystem for processing systems in satellites

Reiser,

Chen,

Knödtel

et al. 2024

Des Autom Embed Syst

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Among the numerous benefits that novel RRAM devices offer over conventional memory technologies is an inherent resilience to the effects of radiation. Hence, they appear suitable for use as a memory subsystem in a computer architecture for satellites. In addition to memory devices resistant to radiation, the concept of applying protective measures dynamically promises a system with low susceptibility to errors during radiation events, while also ensuring efficient performance in the absence of radiation events. This paper presents the first RRAM-based memory subsystem for satellites with a dynamic response to radiation events. We integrate this subsystem into a computing platform that employs the same dynamic principles for its processing system and implements modules for timely detection and even prediction of radiation events. To determine which protection mechanism is optimal, we examine various approaches and simulate the probability of errors in memory. Additionally, we are studying the impact on the overall system by investigating different software algorithms and their radiation robustness requirements using a fault injection simulation. Finally, we propose a potential implementation of the dynamic RRAM-based memory subsystem that includes different levels of protection and can be used for real applications in satellites.

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Single‐event upsets in the Cluster and Double Star Digital Wave Processor instruments

Cited by 8 publications

References 15 publications

The Economic Impact of Space Weather: Where Do We Stand?

The Economic Impact of Space Weather: Where Do We Stand?

Solar Particle Event and Single Event Upset Prediction from SRAM-based Monitor and Supervised Machine Learning

Design and analysis of an adaptive radiation resilient RRAM subsystem for processing systems in satellites

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