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      Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks

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      Applied Soft Computing
      Elsevier BV

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          Variational Mode Decomposition

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            A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

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              A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

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                Author and article information

                Contributors
                Journal
                Applied Soft Computing
                Applied Soft Computing
                Elsevier BV
                15684946
                October 2020
                October 2020
                : 95
                : 106515
                Article
                10.1016/j.asoc.2020.106515
                e94a292b-c801-414c-bedc-e60ca2cbddcb
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

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