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The learning and generation performance of support vector regression (SVR) is determined to parameter selection, so an immune support vector regression (ISVR) for fault location was presented in the paper. The algorithm used immune algorithm to optimize the parameters of SVR in order to globally optimize parameters and reduce the blindness of man-made selection parameters and improve generation performance...
The method based on empirical mode decomposition (EMD) and singular value decomposition (SVD) for power fault identification is presented in this paper. First, fault signal was adaptively decomposed into a series of smooth intrinsic mode functions (IMFs) with different time scales via EMD; second, the matrix is formed by different level IMFs and SVD method decompose the matrix to obtain singular value...
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