摘要
对关键特征参数的准确预报是实现故障预报的重要环节。本文提出了基于小波网络的非线性时间序列预报模型，探讨了非线性时间序列预报在故障预报中的应用。从函数逼近角度给出了这种模型的理论基础，给出了小波网络的学习算法，最后给出在空间推进系统上的应用实例。
The precise prediction of important characteristic parameter is the important step in the course of fault prediction.Wavelet network based nonlinear time series prediction model is submitted,and nonlinear time series prediction and its application in fault prediction are discussed in this paper.Firstly theoretical foundation of this model is stated from point of function approximation.Secondly,learning algorithm of wavelet network is given.In the end,the model is validated by an example of propulsion system of spacecraft.
出处
《机械强度》
CAS
CSCD
北大核心
1999年第1期1-3,共3页
Journal of Mechanical Strength
基金
国家自然科学基金
国家863计划项目
