Probabilistic Neural Network Application in Fault Diagnosis of Airborne Fire Control System

摘要：

　　Aiming at resolving the problem that fault diagnosis model of complex airborne fire control system is difficult to establish,an approach to fault diagnosis is proposed based on Probabilistic Neural Network (PNN).The mechanism of fault diagnosis of the airborne fire control system was analyzed first,and the fault diagnosis model based on PNN was established.Simulation results showed that this model has strong fault identification ability,good generalization ability,and powerful anti-noise ability.Meanwhile,the simulation results demonstrated that the model can meet the needs of practical engineering,and provides a useful reference method for fault diagnosis of airborne fire control system.

关键词： Probabilistic neural network Fire control system Fault diagnosis

作者: Caikun Zhang Qi Feng Zhaohui Bai

作者单位: Department of Electronic Information, Northwestern Polytechnical University, Xi’an 710129 Shanxi, Ch Shenyang Aircraft Design and Research Institute, Shenyang 110035 Liaoning, China

会议类型: 国际会议

会议名称: 2013西安国际航空维修与管理学术会议

会议地点: 西安

会议语种:英文

页码: 235-242

在线出版日期: 2013-11-25（万方平台首次上网日期，不代表论文的发表时间）