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Aiming at the problems of the dimension of fault feature data sets of the rotating machinery are too high and labeled information of the sample is insufficient, which lead to fault recognition too difficult. A kind of combinational method of fault identification of rotating machinery based on Kernel Semi-supervised Orthogonal Marginal Fisher Analysis (Kernel Semi - Supervised Orthogonal Marginal Fisher...
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