Title :
Research status and perspectives of fault prediction technologies in Prognostics and Health management system
Author :
Yunhong Gao ; Yibo Li ; Zhang, Guangming ; Zhang, Zongjie
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
Abstract :
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.
Keywords :
aerospace computing; aircraft maintenance; artificial intelligence; condition monitoring; fault diagnosis; military aircraft; JSF F-35; artificial intelligence; economic sustainability; fault prediction technologies; prognostics and health management; Aircraft; Analytical models; Artificial intelligence; Automation; Decision making; Economic forecasting; Educational institutions; Predictive models; Prognostics and health management; Space technology;
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-3908-9
Electronic_ISBN :
978-1-4244-2386-6
DOI :
10.1109/ISSCAA.2008.4776134
