计算机工程与应用2011，Vol.47Issue(20)：231-233,237,4.DOI:10.3778/j.issn.1002-8331.2011.20.064
基于免疫和神经网络的航空设备故障预测研究
Prognostics for aeronautic equipments based on Immune neural network
摘要
Abstract
To reduce the entire life cycle cost of weapon system and enhance their affordability, technology of fault prediction is studied for aeronautic equipment.The immune algorithm is used to ameliorate the activation function of hide layer. Then Immune Neural Network (INN) is got to track and predict the characteristics parameters of equipments.Results show that the improved neural networks can archive fault prediction 3 hours before the time point of faults respectively, and the networks' performances are improved significantly compared with the BP neural network.关键词
故障预测/免疫算法/免疫神经网络Key words
fault prediction/ Immune Algorithm (IA)/ Immune Neural Network (INN)分类
信息技术与安全科学引用本文复制引用
胡雷刚,肖明清,谢斓..基于免疫和神经网络的航空设备故障预测研究[J].计算机工程与应用,2011,47(20):231-233,237,4.基金项目
总装备部“十一五”预先研究项目. （）
