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Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features
A fault diagnosis method based on deep feedforward network with transient synthetic features is proposed to reduce the dependence on the fault mathematical models in this paper, which mainly uses the transient phase current to train the deep feedforward network classifier.
Multi-Linear Interactive Matrix Factorization
Recommender systems, which can significantly help users find their interested items from the information era, has attracted an increasing attention from both the scientific and application society.
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