An Adaptive Approach Based on KPCA and SVM for Real-Time Fault Diagnosis of HVCBs

@article{Ni2011AnAA,
  title={An Adaptive Approach Based on KPCA and SVM for Real-Time Fault Diagnosis of HVCBs},
  author={Jianjun Ni and Chuanbiao Zhang and S. X. Yang},
  journal={IEEE Transactions on Power Delivery},
  year={2011},
  volume={26},
  pages={1960-1971}
}
High-voltage circuit breakers (HVCBs) play an important role in power systems, which can control and ensure the power grids are working properly. Real-time fault diagnosis of HVCBs is an essential issue for power systems. In this paper, a novel approach based on an adaptive kernel principal component analysis (KPCA) and support vector machine (SVM) is proposed for real-time fault diagnosis of HVCBs. In the proposed approach, a sample reduction algorithm based on a similarity degree function is… CONTINUE READING
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