Research Status and Perspectives of Fault Prediction Technologies in Prognostics and Health Management System

摘要：

Prognostics and Health management (PHM) is put forward initially for JSF F-35 to provide a guarantee for economic sustainability. Fault prediction algorithms based on artificial intelligence (AI) is a key technology to insure PHM technology implement. In this paper, fault prediction technologies are described in detail according as three classes based on the summarize of civil and foreign literatures. And the newest development trends are proposed in the end of the paper.

作者: Yunhong Gao Yibo Li Guangming Zhang Zongjie Zhang

作者单位: College of Automation Engineering,Nanjing University of Aeronautics and Astronautics Nanjing,Jiangsu College of Automation Engineering,Shenyang Institute of Aeronautical Engineering Shenyang,Liaoning 1

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 21-26

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）