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Hydroelectric generating sets (HGS) are main generating equipments in the electrical power system, and there is a strong demand on their reliable and safe operation. This paper aims to set up an efficient and high accuracy model of HGS fault diagnosis by support vector machine (SVM) method. So far as now, the constructing N-class SVMs is still an unsolved research problem. The paper presents a new...
Electric transformers play an important role in the electrical power system, and there is a strong demand on their reliable and safe operation. Support vector machine (SVM) based classification gives a promising approach for fault diagnostics of electric transformers. But the standard method for N-class SVMs (there are many types of electrical transformer fault) doesn't present an easy solution. The...
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