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Application of Ontology to Knowledge Management of Sucker-rod Pumping System Fault Diagnosis
| Content Provider | Semantic Scholar |
|---|---|
| Author | Cheng, Peng |
| Copyright Year | 2013 |
| Abstract | Sucker-rod pumping system operating status fault diagnosis technology is closely related to the energy consumption, production per well and the cost of crude oil exploration. But the knowledge depiction of the expert diagnostic system is mainly based on the production rules, neural networks or object-oriented. As ontology has advantages in hierarchy and semantic relationships expressing, it is can be used in the knowledge management in the expert diagnostic system of the fault diagnosis technology. Then an ontology model for sucker-rod pumping system running state fault diagnosis system is also proposed in this paper. Basing on ontology, the knowledge management system framework is built up, which includes data layer, logic layer and application layer. The comprehensive diagnosis ontology database, including the knowledge domains of fault, collection and structure, is established. And the relationships among the ontology are |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.joace.org/uploadfile/2013/0506/20130506045127621.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Artificial neural network CNS disorder Knowledge management Neural Network Simulation Production (computer science) Pumping (computer systems) Rule (guideline) Web Ontology Language pump (device) |
| Content Type | Text |
| Resource Type | Article |
