1998
DOI: 10.1109/23.736542
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SEU induced errors observed in microprocessor systems

Abstract: In this paper, we present software tools for predicting the rate and nature of observable SEU induced errors in microprocessor systems. These tools are built around a commercial microprocessor simulator and are used to analyse real satellite application systems. Results obtained from simulating the nature of SEU induced errors are shown to correlate with ground-based radiation test dat

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Cited by 31 publications
(11 citation statements)
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“…The second step is to determine the probability that a SEU cause a system error. It has been shown [10][11][12][13][14] that this probability is related with the application cross section, denoted by AP . To increase system reliability, the application cross section should be reduced by means of fault tolerant techniques.…”
Section: Introductionmentioning
confidence: 99%
“…The second step is to determine the probability that a SEU cause a system error. It has been shown [10][11][12][13][14] that this probability is related with the application cross section, denoted by AP . To increase system reliability, the application cross section should be reduced by means of fault tolerant techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Reference [5] explored a method, based on the use of a commercially available microprocessor software simulator, for the prediction of upset errors in microprocessor systems. An actual satellite application built on an 80C51 micro-controller was simulated concurrently with the injection of upsets in microcontroller registers.…”
Section: Introductionmentioning
confidence: 99%
“…The first approach focuses on breaking the device into functional blocks (e.g., register file, ALU), and determining the cross-sections and duty cycles of these blocks through testing and analysis. The duty cycle and cross-sections are then multiplied to determine the overall device cross-section [18]- [20]. The second approach focuses on simulations using hardware-description languages, such as VHDL.…”
Section: F Seu Propagation Modelingmentioning
confidence: 99%