Risk Assessment Model of Error in Aviation Maintenance Based on Integrated Neural Networks

摘要：

Use the integrated neural networks to evaluate the risk of error in aviation maintenance. First of all, establishes the evaluation index system for error in aviation maintenance, then proposals an evaluation model based on neural networks which has the function of risk assessment after training, finally the evaluation results will be achieved via the parameters. The sample sets of training network can be summarized by experts from previous data of similar risk assessment processes. The simulation results show that the methods will reduce the influence of human factor and make the solution more objective and creditable.

关键词： maintenance error risk assessment integrated neural networks

作者: Li-Zhi XIAO De-Xiang SUN Guo-Ping XING Yong HUANG

作者单位: Department of Information Countermeasure Aviation University of Air Force Changchun, China

会议类型: 国际会议

会议名称: 2011 International Conference on Quality,Reliability,Risk,Maintenance,and Safety Engineering(2011年质量、可靠性、风险、维修性与安全性国际会议暨第二届维修工程国际学术会议 ICQR2MSE 2011)

会议地点: 西安

会议语种:英文

页码: 659-662

在线出版日期: 2011-06-17（万方平台首次上网日期，不代表论文的发表时间）