Multiple Fault Diagnosis Strategy for Redundant System Based on Probability Threshold
HUANG Yi-feng
JING Bo
YU Biao
LI Jian-jun
Abstract：Aimed at the problem of the multiple fault diagnosis of redundant system,a multiple fault diag-nosis strategy for redundant system based on probability is proposed to reduce the computation and the ex-pectant costs under condition that a probability value is set as a probability threshold and the multi-fault state whose probability is lower than the value of this probability threshold is neglected.First,this strate-gy is used to optimize the relation matrix model,and give up the multi-fault states whose probability is lower than the probability threshold.And then,Rollout algorithm is used to optimize the information en-tropy based diagnosis strategy.The example demonstrates that though the expectant costs are lowered by the strategy into a certain accuracy,a great proportion of the expectant test costs is reduced ,the size of the fault-test relation matrix model is minimized,and the calculation time is reduced.
Keywords：redundant systemmultiple fault diagnosisdiagnostic strategyRollout algorithm
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1-5 )