Hyperparameter Selection with Good Region Recognition for SVM Based Fault Diagnosis

Siyu Lei, Yue Guo


This paper proposes a novel method of good region recognition for hyperparameter selection of SVM. The method can
provide a much smaller good region for optimization search-based methods, and thus it can greatly save computation time. Experimental
results show that the proposed method improves effi ciency of fault diagnosis of rolling bearing with no accuracy loss.


good region recognition; hyperparameter selection; support vector machine; fault diagnosis

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Journal of Information Science and Engineering. Accepted on Mar. 11, 2013.

DOI: http://dx.doi.org/10.18686/esta.v10i2.402


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