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In practice it is existed a matter in classified problem. The problem can be described as that the different sort has different wrong classified cost. In this paper we propose a cost-sensitive SVM approach based on weighted attribute. The approach first calculates the weightiness of feature attributes corresponded to the classification attribute, then calculates the corresponding weightiness of attribute...
In this paper, fault diagnosis approach to rolling bearing based on wavelet packet transform and support vector machine is proposed. At first, feature vectors are extracted from the non-stationary vibration signals by means of wavelet packet transform. Then support vector machine algorithm is used to fault identification and classification of rolling bearing. The experiments show that, as for limited...
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