Title :
Research on state recognition and wear lifetime predication of tribo-system
Author :
Li, Juan ; Tu, Hongmao ; Liu, Qin ; Qian, Yunpeng
Author_Institution :
North China Syst. Eng. Inst., CNGC, Beijing, China
Abstract :
Methods of tribo-system health state recognition and wear residual lifetime prediction are proposed based on wear failure mechanism, many uncertain influence factors also being taken into consideration. It mainly deals such engineering problems as tribological behavior measurement friction pair surface testing, experiment data collection and´ management, feature extraction and health state recognition, and so on. It outlines the basic frame of the application of PHM technology in the tribo-system.
Keywords :
condition monitoring; failure (mechanical); friction; wear; friction pair surface testing; tribo-system health state recognition; tribological behavior; wear failure mechanism; wear residual lifetime prediction; Artificial neural networks; Feature extraction; Friction; Genetic algorithms; Maintenance; Nonlinear systems; Petroleum; Prognostics and health management; State estimation; Wavelet transforms; PHM technology; health state recognition; residual lifetime prediction; tribo-system;
Conference_Titel :
Prognostics and Health Management Conference, 2010. PHM '10.
Conference_Location :
Macao
Print_ISBN :
978-1-4244-4756-5
Electronic_ISBN :
978-1-4244-4758-9
DOI :
10.1109/PHM.2010.5413424
