Reliability Analysis of Truss Robot System Based on T-S Dynamic Fault Tree
In order to improve the dynamic reliability of truss robot system and improve the efficiency of troubleshooting when faults occur,a method for dynamic reliability analysis of truss robot system is pro-posed.Firstly,the T-S dynamic fault tree was established for the truss robot system,and then the T-S dy-namic fault tree and T-S dynamic gate rules were transformed into discrete time Bayesian network(DT-BN)and conditional probability tables of corresponding network nodes,respectively.According to the for-ward and backward reasoning of DTBN,the system failure probability and the posterior probability of root node in each time period and task time were calculated.And the T-S probability importance,T-S critical im-portance and sensitivity of each root node are obtained.Finally,the Monte Carlo simulation method is used to verify the proposed method.The result shows that the relative error is 0.29%,which proves that the proposed method is feasible.The parts which should be preferentially checked when the system fails are given,and the weak links of the system are determined,and the parts which should be preferentially improved in reliability are obtained,which provides a theoretical basis for the dynamic reliability analysis of truss robot system.
truss robot systemT-S dynamic fault treediscrete time Bayesian networkposterior probabilities
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