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MKLS-SVR based remaining useful life prediction for avionics
文献类型:会议
作者:Guo Yangming[1]  He Pei[2]  Wu Hao[3]  Hang Jiaqi[4]  Wang Zige[5]  Jiang Xuefeng[6]  Liu Junrui[7]  
机构:[1]Northwestern Polytech Univ, Sch Comp Sci & Technol, Xian 710072, Shaanxi, Peoples R China.;
[2]Northwestern Polytech Univ, Sch Comp Sci & Technol, Xian 710072, Shaanxi, Peoples R China.;
[3]Northwestern Polytech Univ, Sch Comp Sci & Technol, Xian 710072, Shaanxi, Peoples R China.;
[4]Northwestern Polytech Univ, Sch Comp Sci & Technol, Xian 710072, Shaanxi, Peoples R China.;
[5]Northwestern Polytech Univ, High Sch, Xian 710072, Shaanxi, Peoples R China.;
[6]Northwestern Polytech Univ, Sch Comp Sci & Technol, Xian 710072, Shaanxi, Peoples R China.;
[7]Northwestern Polytech Univ, Sch Comp Sci & Technol, Xian 710072, Shaanxi, Peoples R China.;
年:2015
通讯作者:Guo, YM (reprint author), Northwestern Polytech Univ, Sch Comp Sci & Technol, Xian 710072, Shaanxi, Peoples R China.
会议名称:12th IEEE International Conference on Electronic Measurement and Instruments (ICEMI)
会议论文集:PROCEEDINGS OF 2015 IEEE 12TH INTERNATIONAL CONFER
页码范围:237-241
会议地点:Qingdao, PEOPLES R CHINA
收录情况:CPCI-S(WOS:000414626500045)  
所属部门:计算机学院
人气指数:22
浏览次数:22
语言:外文
关键词:avionic equipments; remaining using life; prediction; LS-SVR; Multiple Kernel Learning
摘要:
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 if is a practical and effective electronic equipment ...More
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