The Application of Support Vector Machine on Fault Diagnosis of the Diesel Engine Exhaust Gas Turbocharger

摘要

Support vector machine (SVM) is based on structural risk minimum theory, which special study the discipline for small sample cases. First learn support vector machine fault diagnosis theory, Then analysis the common failures of the exhaust gas turbocharger, Finally using support vector machine, research the application on fault diagnosis of the turbocharger, and then through the simulation verify that the support vector machine has excellent fitting ability on fault diagnosis of the turbocharger. The research results can enrich fault diagnosis method of the exhaust gas turbocharger, and then push the further development on fault diagnosis technology of the exhaust gas turbocharger.