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

fYear

2010

fDate

12-14 Jan. 2010

Firstpage

1

Lastpage

3

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/PHM.2010.5413424

Filename

5413424