Name
Title | ||
|---|---|---|
The Fault Diagnosis System With Self-Repair Function For Screw Oil Pump Based On Support Vector Machine |
Abstract | ||
|---|---|---|
Considering the issues that the relationship between the fault of screw oil pump existent and fault information is a complicated and nonlinear system, and it is very difficult to found the process model to describe it. The support vector machine (SVM) has the ability of strong nonlinear function approach and the ability of strong generalization and also has the feature of global optimization. In this paper, a fault diagnosis system with self-repair function for screw on pump based on SVM is presented. Moreover, the genetic algorithm (GA) was used to optimize SVM parameters. With the ability of strong self-learning and well generalization of SVM, the diagnosis system can truly diagnose the fault of screw off pump by learning the fault information. The real diagnosis results show that this system is feasible and effective. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ROBIO.2007.4522501 | 2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-5 |
Keywords | Field | DocType |
fault diagnosis, self-repair function, support vector machine, screw oil pump | Petroleum industry,Nonlinear system,Global optimization,Control theory,Support vector machine,Control engineering,Oil pump,Engineering,Genetic algorithm,Self repair | Conference |
Volume | Issue | ISSN |
null | null | null |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingwen Tian | 1 | 36 | 13.10 |
| Meijuan Gao | 2 | 32 | 12.32 |
| Yanxia Liu | 3 | 0 | 2.03 |
| Hao Zhou | 4 | 1 | 2.10 |
| Kai Li | 5 | 3 | 3.30 |