Analog filter diagnosis using Support Vector Machine
نویسندگان
چکیده
The paper will present the application of artificial neural network of Support Vector Machine (SVM) type to the fault location in analog electrical filter. The recognition of fault is based on the measurements of the accessible terminal voltage and current of the network, transformed according to the proposed procedure. The SVM network is applied as the recognizing system and as the classifier. The numerical results of recognition of faulty elements in electrical filter are presented and discussed in the paper.
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تاریخ انتشار 2003