Reliability Analysis of Elastic Link Mechanism Based on BP Neural Network
The demand of kinematic accuracy is increasing for modern mechanical systems,while elastic deformation will lead to the decline in kinematic accuracy.This paper examines the application of finite element analysis (FEA) method to kinematic error analysis of elastic mechanisms based on Kineto- Elastodynamics model.The simulation of limit state equations of link mechanisms is performed with Back Propogation Neural Networks (BPNN),while the reliability analysis is carried out with the Monte Carlo simulation (MCS) method for solving the reliability,of the elastic mechanism.The numerical example shows that the proposed analysis method is feasible and effective in improving the kinematic accuracy and can be applied to reliability analysis of other mechanisms in practical engineering.
reliability BP neural network elastic linkage mechanism kinematic accuracy finite element method
Jian Xiao Liping He Hong-Zhong Huang Xiaoling Zhang Zhonglai Wang
School Mechatronics Engineering University of Electronic Science and Technology of China Chengdu, China
国际会议
成都
英文
291-294
2012-06-15（万方平台首次上网日期，不代表论文的发表时间）