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Risk assessment model of error in aviation maintenance based on integrated neural networks

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4 Author(s)
Li-Zhi Xiao ; Department of Information Countermeasure, Aviation University of Air Force, Changchun, China ; De-Xiang Sun ; Guo-Ping Xing ; Yong Huang

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.

Published in:

Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2011 International Conference on

Date of Conference:

17-19 June 2011