郑州大学学报（工学版）2012，Vol.33Issue(3)：33-35,39,4.DOI:10.3969/j.issn.1671-6833.2012.03.008
估计复合材料有效弹性常数界限的综合方法
An Approach to Predicting Bounds of Effective Properties of Composite Materials
摘要
Abstract
Because gear faults have characteristics of being nonlinear and coupling between fault symptoms and fault, BP neural network gear fault diagnosis has slow convergence speed and poor reliability. The BP neural network gear fault diagnosis method based on genetic algorithm is put forward. Namely, the BP neural network is used in gear fault diagnosis, and genetic algorithm is applied to optimize the weights and thresholds of the network. So the global optimal value is obtained. The simulation results show that the diagnosis strategy has the characteristic of strong diagnosis ability and high diagnosis efficiency and improves the gear fault diagnosis precision and speed.关键词
微观力学/颗粒增强复合材料/有效弹性常数/上下限Key words
gear/fault diagnosis/neural network/genetic algorithm分类
建筑与水利引用本文复制引用
琚宏昌,陈玲玲,张璇..估计复合材料有效弹性常数界限的综合方法[J].郑州大学学报（工学版）,2012,33(3):33-35,39,4.基金项目
广西省自然科学基金资助项目(200911MS115,201010LX215) （200911MS115,201010LX215）
广两柳州市应用技术研究与开发计划项目(2010020603) （2010020603）
