湖南大学学报（自然科学版）2016，Vol.43Issue(8)：63-69,7.
基于非等距BFA-GM（1，1）模型的尾翼疲劳寿命预测
Empennage Fatigue Life Prediction Based on Non-equidistant BFA-GM (1,1)Model
摘要
Abstract
The background value coefficientαof the non-equidistant GM (1 ,1 )model has great influ-ence on the predictive capability,but it is difficult to determine its optimal value.For these problems,the bacterial foraging algorithm and a GM (1,1)model were combined and the BFA-GM (1,1)optimization model was proposed.Taking the experiment of empennage fatigue life prediction as an example,the per-formances of the BFA-GM (1,1)model,the PSO-GM (1,1)model and the GA-GM (1,1)model were analyzed and compared.The results have shown that the BFA-GM (1 ,1 )model consumes the least time and obtains the lowest average prediction error,and that the BFA-GM (1,1)model proposed is competent to find the optimal background value coefficientαquickly and accurately,thereby increasing the empennage fatigue life prediction accuracy under the conditions of“small samples”and “poor information”.关键词
细菌觅食算法/非等距GM(1 ,1 )模型/疲劳/寿命预测/参数优化Key words
bacterial foraging algorithm (BFA)/non-equidistant GM (1 ,1 )model/fatigue/life predic-tion/parameter optimization分类
矿业与冶金引用本文复制引用
杨大炼,刘义伦,李松柏,陶洁..基于非等距BFA-GM（1，1）模型的尾翼疲劳寿命预测[J].湖南大学学报（自然科学版）,2016,43(8):63-69,7.基金项目
国家自然科学基金资助项目（51375500），National Natural Science Foundation of China（51375500）；湖南省教育厅资助项目（2013SK2001）；中南大学中央高校基本科研业务费专项资金资助项目 （）
