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Content Provider | IEEE Xplore Digital Library |
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Author | Juan Li Hongmao Tu Qin Liu Yunpeng Qian |
Copyright Year | 2010 |
Description | Author affiliation: North China System Engineering Institute, CNGC, Beijing, China (Juan Li; Hongmao Tu; Qin Liu; Yunpeng Qian) |
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. |
Starting Page | 1 |
Ending Page | 3 |
File Size | 538811 |
Page Count | 3 |
File Format | |
ISBN | 9781424447565 |
e-ISBN | 9781424447589 |
DOI | 10.1109/PHM.2010.5413424 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-01-12 |
Publisher Place | Macao |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Wavelet transforms PHM technology Artificial neural networks Maintenance Prognostics and health management Petroleum Genetic algorithms residual lifetime prediction Friction Feature extraction tribo-system health state recognition Nonlinear systems State estimation |
Content Type | Text |
Resource Type | Article |
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