INU Fault Diagnosis Based on Genetic Wavelet Neural Network

摘要：

　　This paper studies the fault diagnosis of inertia navigation unit which plays an important role in inertia navigation system.The method chosen in the fault diagnosis is combined Genetic Algorithm and wavelet neural network.Wavelet transform will effectively handle the collected inertia navigation unit signal.The characteristic signals extracted will be regarded as inputs to the neural network.The initial value of weight and bias on WNN is searched for further training by introducing Genetic Algorithm,which improves search efficiency and global convergence of the network.The fault signal of gyro which is the crucial part in inertia navigation unit is taken as an example of simulation.Simulation results indicate that this method can diagnose faults effectively.

关键词： wavelet transform neural network gyro fault diagnosis

作者: Yunlin Luo Qingtian Dai Li Wang Kun Wang

作者单位: Aeronautical Automation College of Civil Aviation University of China,Tianjin 300300

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 2837-2840

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）