Back to Search
Start Over
Robust Duplication With Comparison Methods in Microcontrollers
- Source :
- IEEE Transactions on Nuclear Science. 64:338-345
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- Commercial microprocessors could be useful computational platforms in space systems, as long as the risk is bound. Many spacecraft are computationally constrained because all of the computation is done on a single radiation-hardened microprocessor. It is possible that a commercial microprocessor could be used for configuration, monitoring and background tasks that are not mission critical. Most commercial microprocessors are affected by radiation, including single-event effects (SEEs) that could be destructive to the component or corrupt the data. Part screening can help designers avoid components with destructive failure modes, and mitigation can suppress data corruption. We have been experimenting with a method for masking radiation-induced faults through the software executing on the microprocessor. While triple-modular redundancy (TMR) techniques are very effective at masking faults in software, the increased amount of execution time to complete the computation is not desirable. In this paper we present a technique for combining duplication with compare (DWC) with TMR that decreases observable errors by as much as 145 times with only a 2.35 time decrease in performance.
- Subjects :
- Nuclear and High Energy Physics
010308 nuclear & particles physics
business.industry
Computer science
Electrical engineering
02 engineering and technology
01 natural sciences
020202 computer hardware & architecture
law.invention
Microcontroller
Microprocessor
Software
Nuclear Energy and Engineering
Robustness (computer science)
law
Software fault tolerance
Embedded system
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Redundancy (engineering)
Avionics software
Software reliability testing
Electrical and Electronic Engineering
business
Subjects
Details
- ISSN :
- 15581578 and 00189499
- Volume :
- 64
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Nuclear Science
- Accession number :
- edsair.doi...........d7ef4e42ca4368de240c5f3e08e6f4dd