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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jie Liu Xinping Yan |
| Copyright Year | 2010 |
| Description | Author affiliation: Reliability Engineering Institute, School of Energy and Power Engineering, Wuhan University of Technology, China (Jie Liu; Xinping Yan) |
| Abstract | It is quite difficult to acquire criterion knowledge for the condition monitoring and fault diagnosis in machinery. The traditional approach depends on constant summary of experiences from the experts. However, the acquired knowledge is probably inaccurate and inefficient. With the benefit of network, the different companies and users that have the same equipments can be organized to form an integrated information source in order to share the original data and diagnosis knowledge. Thus, the more accurate diagnosis knowledge may be acquired using knowledge mining and information fusion so that the precision of status identification can be improved. Furthermore, the diagnostic services based on remote knowledge service can be provided via network. The framework of remote knowledge service system based on web service technology is proposed in this study. Combined with the ferrography analysis method, the application of knowledge service for remote wear debris analysis has been studied and demonstrated in this study. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1489051 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424447565 |
| e-ISBN | 9781424447589 |
| DOI | 10.1109/PHM.2010.5413413 |
| 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 | Condition monitoring Fault diagnosis Marine technology Equipment failure Communications technology Performance analysis Machinery Remote monitoring Petroleum Testing |
| Content Type | Text |
| Resource Type | Article |
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