中国机械工程2013，Vol.24Issue(8)：1085-1089,5.DOI:10.3969/j.issn.1004-132X.2013.08.018
基于小波包—混沌支持向量机的液压泵压力信号预测
Prediction for Pressure Signals of Hydraulic Pump Based on Wavelet Packet-chaos Theory and SVM
摘要
Abstract
For non- linear and non stationary characteristics of pressure signals for a hydraulic pump,this paper presented a kind of prediction method, which combined wavelet packet analysis and chaos theory with SVM. This method can construct model and predict for pressure signals. Firstly,it used wavelet packet to decompose the time series of pressure signals for hydraulic pump and reconstruct every components. Secondly,it builts the corresponding chaos theory and SVM prediction model to predict every component. Finally, it reconstructed all levels of prediction results. Through the experiments, the method can predict the trend of pressure signals effectively and have higher prediction precision,and can be applied in the system of condition monitoring and prediction.关键词
小波包/相空间重构/支持向量机/液压泵Key words
wavelet packet/ phase space reconstruction/ support vector machine(SVM)/ hydraulic pump分类
机械制造引用本文复制引用
田海雷,李洪儒,许葆华..基于小波包—混沌支持向量机的液压泵压力信号预测[J].中国机械工程,2013,24(8):1085-1089,5.基金项目
国家自然科学基金资助项目(51275524) （51275524）
