Fast Online Approximation for Hard Support Vector Regression and Its Application to Analytical Redundancy for Aeroengines  

硬支持向量回归机的快速在线近似解法及其在航空发动机解析余度中的应用(英文)

作　　者：赵永平[1] 孙健国[1] 

机构地区：[1]南京航空航天大学能源与动力学院

出　　处：《Chinese Journal of Aeronautics》2010年第2期145-152,共8页中国航空学报（英文版）

基　　金：National Natural Science Foundation of China (50576033);Aeronautical Science Foundation of China (04C52019)

摘　　要：The hard support vector regression attracts little attention owing to the overfitting phenomenon. Recently, a fast offiine method has been proposed to approximately train the hard support vector regression with the generation performance comparable to the soft support vector regression. Based on this achievement, this article advances a fast online approximation called the hard sup- port vector regression （FOAHSVR for short）. By adopting the greedy stagewise and iterative strategies, it is capable of online estimating parameters of complicated systems. In order to verify the effectiveness of the FOAHSVR, an FOAHSVR-based analytical redundancy for aeroengines is developed. Experiments on the sensor failure and drift evidence the viability and feasibility of the analytical redundancy for aeroengines together with its base--FOAHSVR. In addition, the FOAHSVR is anticipated to find applications in other scientific-technical fields.The hard support vector regression attracts little attention owing to the overfitting phenomenon. Recently, a fast offiine method has been proposed to approximately train the hard support vector regression with the generation performance comparable to the soft support vector regression. Based on this achievement, this article advances a fast online approximation called the hard sup- port vector regression （FOAHSVR for short）. By adopting the greedy stagewise and iterative strategies, it is capable of online estimating parameters of complicated systems. In order to verify the effectiveness of the FOAHSVR, an FOAHSVR-based analytical redundancy for aeroengines is developed. Experiments on the sensor failure and drift evidence the viability and feasibility of the analytical redundancy for aeroengines together with its base--FOAHSVR. In addition, the FOAHSVR is anticipated to find applications in other scientific-technical fields.

关 键 词：support vector machines parameter estimation sensor fault analytical redundancy aeroengines 

分 类 号：V263.6[航空宇航科学与技术—航空宇航制造工程]