Life Prediction Method for Aircraft Key Component Based on Fuzzy Integral

摘要：

At present, life prediction for the aircraft key component is a widely recognized problem in the field of aerospace, especially the prediction precision. From the basic concepts and theory of fuzzy integral, this paper proposes a new method of life prediction which is based on information fusion theory. Firstly, BP neural network and RBF neural network are used to predict the remaining service life of the aircraft key component respectively. On this basis, fuzzy integral theory is used to conduct a decision-level fusion of the results to the above two neural networks. The experiment results show that the method of life prediction with fuzzy integral can realize the life prediction for the aircraft key component. The prediction precision is improved after information fusion. It has a wide application prospect and great practical value.

关键词： BP Neural Network RBF Neural Network Fuzzy Integral Life Prediction

作者: Jianguo Cui Wei Zhao Xicheng Chen Liying Jiang Zhonghai Li Zishen Dai

作者单位: School of Automation, Shenyang Aerospace University, Shenyang 110136, China Shenyang Aircraft Design & Research Institute, Shenyang 110035, China Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1758-1761

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）