Health Prediction of Civil Aircraft Hydraulic System Based on the LS-SVM Regression Under Bayesian Evidence Framework Model
ZHANG Tiangang1, HOU Xiaoyun2
1. Aeronautical Automation College, Civil Aviation University of China, Tianjin 300300,China;2. Airport College, Civil Aviation University of China, Tianjin 300300, China
Abstract：In order to predict the health of civil aircraft hydraulic system, based on the LS-SVM regression under Bayesian evidence framework model, the Radial Basis Function (RBF) kernel is used. The LS-SVM regression parameters are selected and tuned, the model algorithm and interval prediction formula are selected, and then the prediction model of hydraulic system is built by the train sample, the validation of formula is verified by the test sample. The parameters of hydraulic system are predicted, and then the predicted values are put into the health assessment model. The results show that the LS-SVM regression under Bayesian evidence framework model is able to be well applied to the health prediction of civil aircraft hydraulic system.
张天刚;侯晓云. 贝叶斯框架的LS-SVM回归在民机液压系统预测中的应用[J]. , 2013, 31(14): 56-60.
ZHANG Tiangang;HOU Xiaoyun. Health Prediction of Civil Aircraft Hydraulic System Based on the LS-SVM Regression Under Bayesian Evidence Framework Model. , 2013, 31(14): 56-60.
2013, Vol. 31 
