Fatigue life prediction method of hydraulic support front link

For theseover-elaborate calculation of fatigue life of hydraulic support front link, a method of fatigue life prediction method of hydraulic support front link was proposed which adopted BP neural network optimized by genetic algorithm. Design parameters under 40 level are selected by use of Latin Hypercube. Fatigue life value under each parameter level is calculated through ANYSY finite element analysis software. A neural network model between design parameters and fatigue life is established by BP neural network optimized by genetic algorithm learning the first 30 groups of data, and the rest of 10 groups of data is used to verify prediction accuracy of the model. The prediction result shows that the method has small prediction error.