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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dai Jianpeng Wei Zhensheng Wang Chunping Zhang Guangyuan |
| Copyright Year | 2007 |
| Description | Author affiliation: Ordnance Eng. Coll., Shijiazhuang (Dai Jianpeng; Wei Zhensheng; Wang Chunping; Zhang Guangyuan) |
| Abstract | This paper puts forward a fault diagnosis expert system based on rough set theory on foundation of traditional radar equipment fault diagnosis: in order to solve the bottle neck problem in the expert system, which is difficult in acquiring completing knowledge. The systems starts from the decision table of historical fault data and reduces by rough set theory, and then construct the model for expert system knowledge. After it calculates diagnosis rule roughness degree, it determines the confidence degree. It uses the reasoning mechanism and fault cases database to implements dynamical maintenance of the knowledge database. |
| File Size | 504850 |
| File Format | |
| ISBN | 9781424411351 |
| DOI | 10.1109/ICEMI.2007.4350955 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knowledge engineering fault diagnosis Instruments Knowledge based systems Expert system Radar equipment Diagnostic expert systems Fault diagnosis Laser radar Databases Fault tolerant systems Set theory rough set radar equipment |
| Content Type | Text |
| Resource Type | Article |
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