摘要
通过对所记录车辆故障维修数据的统计分析 ,提出了用神经网络建立可靠性模型的一般思路和方法 ,从而为车辆传动系统可靠性研究找到了新的建模途径 ,使用较少的故障数据即可获得很高的建模精度。
Based on statistically analyzing the fault data and maintanence data from ten same types of vehicles, supply the general ideal and basic method for setting up neural network reliability model, and finds out a new way to establish the reliability research model for vehicle transmission system and have a prominent characteristic as following: it can obtain very high precision of establishing reliability model by means of using only very few fault data
出处
《机械》
2002年第1期4-5,共2页
Machinery
基金
高等学校青年骨干教师基金
国家自然科学基金资助项目 (595750 0 4 )
