Research on dynamical reliability analysis of mechanism considered friction and flexibleness

Theory and methodology of mechanism dynamical reliability analysis considered the influence of friction and flexibleness were presented. A general model of dynamical reliability was introduced for flexible mechanism analysis. Stochastic variables included driven forces, torques, frictions and damps were considered basically. In the first, Monte Carlo (MC) method was applied to generate stochastic variables and dynamical responds of mechanism. Secondly, the application of artificial neural network (ANN) was motivated by the approximate concepts inherent in reliability analysis and time consuming repeated analyses required for MC. Finally, statistical distribution of dynamical parameters was yielded from the outputs of ANN. As an example, one expand mechanism model of space station was employed to test this method. The results proved that this method can be used to account for the complicated dynamical reliability analysis at a reasonable computational cost.