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In fault diagnosis practice of recent years, the neural networks obtain many harvests, but it has a lot of questions in network structure selecting and network training. In the paper, the power spectrum of fault signals are decomposed by wavelet analysis, which predigests choosing method of fault eigenvectors, and a fault diagnosis model based on least squares support vector machine (LSSVM) is presented...
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