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Novel Fault Detection Optimization Algorithm for Single Event Effect system Based on Multi-information Entropy Fusion
Authors:GAO Xiang  ZHOU Guo-chang  LAI Xiao-ling  ZHANG Guo-xia  ZHU Qi  JU Ting
Abstract: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.
Keywords:fault detection  multi-information entropy  posteriori information entropy  correlation information matrix  single event effect(SEE)
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