IDENTIFICATION OF INDUCTION MACHINE PARAMETERS USING SUPPORT VECTOR MACHINES |
|---|
| Piotr Bilski |
- Abstract:
- The paper presents the application of the support vector machines (SVM) to identify the parameters of the induction machine. The task is related to the regression problem, solved using a separate SVM for each parameter of the analysed object. The purpose and significance of the research is explained. Then, rules of usage and advantages of SVM are introduced. The proposed approach is realised using the model of the induction motor. Importance of the correct SVM kernel and its parameters selection are explained in detail. The paper is concluded with results discussion, conclusions and future prospects.
- Keywords:
- electrical machines, artificial intelligence, regression, fault identification
- Download:
- IMEKO-WC-2012-TC10-O5.pdf
- DOI:
- -
- Event details
- Event name:
- XX IMEKO World Congress
- Title:
Metrology for Green Growth
- Place:
- Busan, REPUBLIC of KOREA
- Time:
- 09 September 2012 - 12 September 2012