Aviation-engine Lubricant System Fault Diagnosis Based on Wavelet Neural Networks

摘要：

　　Fault detection and diagnosis methods for non-linear system based on wavelet neural networks are researched.Wavelet analysis and back propagation neural networks are fused,and the algorithmic is inferred.Method of wavelet neural networks is used in fault diagnosis for the lubricant system of the aero-engine.Results of simulation and tests show that,this method,which is good to fault diagnosis for non-linear systems,does better in convergenoe speed,and is not sensitive to the inputs of the net.

关键词： wavelet neural network fault diagnosis lubricant system

作者: JIAO Zhun ZHANG Rong

作者单位: The First Aeronautical Institute of Air Force,Xinyang,Henan,China Air force Engineering University Engineering College Xian,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 680-684

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）