Application of support vector machine nonlinear classifier to fault diagnoses
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527) - Tập 4 - Trang 2697-2700 vol.4
Tóm tắt
Support vector machine (SVM) is a novel machine learning method based on statistical learning theory. SVM is a powerful tool for solving problems with small samples, nonlinearities and local minima, and is of excellent performance in classification. In the paper, the SVM nonlinear classification algorithm is reviewed. The SVM nonlinear classifier is applied to deal with fault diagnosis. SVM is easy to implement for fault diagnosis. Effective results are obtained of using the SVM for fault diagnosis.
Từ khóa
#Support vector machines #Support vector machine classification #Fault diagnosis #Classification algorithms #Learning systems #Kernel #Automation #Statistical learning #Signal processing algorithms #Lagrangian functionsTài liệu tham khảo
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