1. MKLS-SVR based remaining useful life prediction for avionics
- Author
-
Yangming Guo, Liu Junrui, He Pei, Jiang Xuefeng, Wang Zige, Wu Hao, and Jiaqi Zhang
- Subjects
Engineering ,Aerospace electronics ,business.industry ,Kernel (statistics) ,Time series ,Avionics ,business ,Electronic equipment ,Reliability engineering ,Data modeling ,Whole systems - Abstract
The avionic equipments are important parts of aircraft. Their failures take higher proportion in the total failure, which affect the performance of the whole system. A prediction model based on Multiple Kernel LS-SVR (MKLS-SVR) is proposed in this paper and used for remaining using life (RUL) prediction with a certain avionic device. The simulation results show that the MKLS-SVR has a higher accuracy comparing with the traditional LS-SVR, and it is a practical and effective electronic equipment RUL prediction method‥
- Published
- 2015