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Novel Fault Detection Optimization Algorithm for Single Event Effect system Based on Multi-information Entropy Fusion
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作者 高翔 周国昌 +3 位作者 赖晓玲 张国霞 朱启 巨艇 《Journal of Donghua University(English Edition)》 EI CAS 2014年第6期879-881,885,共4页
Fault detection caused by single event effect( SEE) in system was studied,and an improved fault detection algorithm by fusing multi-information entropy for detecting soft error was proposed based on multi-objective de... Fault detection caused by single event effect( SEE) in system was studied,and an improved fault detection algorithm by fusing multi-information entropy for detecting soft error was proposed based on multi-objective detection approach and classification management method. In the improved fault detection algorithm, the analysis model of posteriori information with corresponding multi-fault alternative detection points was formulated through correlation information matrix, and the maximum incremental information entropy was chosen as the classification principle for the optimal detection points. A system design example was given to prove the rationality and feasibility of this algorithm.This fault detection algorithm can achieve the purpose of fault detection and resource configuration with high efficiency. 展开更多
关键词 fault detection multi-information entropy posteriori information entropy correlation information matrix single event effect(SEE)
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