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    1. Rolling Bearing Fault Diagnosis Using Time-Frequency Analysis and Deep Transfer Convolutional Neural Network | IEEE Journ…

      https://ieeexplore.ieee.org/document/9167237

      Rolling Bearing Fault Diagnosis Using Time-Frequency Analysis and Deep Transfer Convolutional Neural Network. Abstract: Due to the advantage of automatically extracting features from raw da…

    2. Speed Invariant Bearing Fault Characterization Using Convolutional Neural Networks - Springer

      https://link.springer.com/chapter/10.1007/978-3-319-69456-6_16

      Unlike traditional machine learning techniques, convolutional neural networks (CNNs), one of deep learning methods, automate the feature extraction process required for an effective classification…

    3. Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal - Springer

      https://link.springer.com/chapter/10.1007/978-3-319-89656-4_12

      This paper proposes an adaptive deep convolutional neural network (ADCNN) that utilizes cyclic spectrum maps (CSM) of raw vibration signal as bearing health states to automate feature extra…

    4. Convolutional Neural Network Based Bearing Fault Diagnosis

      https://link.springer.com/chapter/10.1007/978-3-319-63312-1_9

      In this paper, we propose a new bearing fault diagnosis method without the feature extraction, based on Convolutional Neural Network (CNN). The 1-D vibration signal is converted to 2-D dat…

    5. An Analysis Method for Interpretability of Convolutional Neural Network in Bearing Fault Diagnosis | IEEE Journals & Magazin…

      https://ieeexplore.ieee.org/document/10334497

      The convolutional neural network (CNN), due to its advanced feature extraction ability of vibrational signals, has achieved promising results in bearing fault diagnosis. However, the worki…

    6. A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment …

      https://www.sciencedirect.com/science/article/pii/S0888327017303369

      Convolutional neural networks. Load domain adaptation. Anti-noise. End-to-end. 1. Introduction. Machine health monitoring is of great importance in modern industry. Failure of these machines …

    7. A convolutional neural network based on a capsule network with strong generalization for bearing fault diagnosis - Scienc…

      https://www.sciencedirect.com/science/article/pii/S0925231218311238

      These methods contain support vector classifier (SVC), k-nearest neighbor (kNN), famous neural networks such as AlexNet, ResNet, and some of the latest methods used in the field of bearing f

    8. Bearing fault identification based on convolutional neural network by different input modes | Journal of the Brazilian So…

      https://link.springer.com/article/10.1007/s40430-020-02561-6

      In order to analyze the effect of different vibration signal input modes for bearing fault identification using convolutional neural network, the analysis procedure is divided into the following four parts…

    9. A Jointed Signal Analysis and Convolutional Neural Network Method for Fault Diagnosis - ScienceDirect

      https://www.sciencedirect.com/science/article/pii/S2212827118302725

      Abstract. Fault diagnosis plays a vital role in the modern industry. In this research, a joint vibration signal analysis and deep learning method for fault diagnosis is proposed. The vibration signal an

    10. Bearing Fault Classification Based on Convolutional Neural Network and Uncertainty Analysis | Request PDF - ResearchGa…

      https://www.researchgate.net/publication/355164481_Bearing_Fault_Classification_Based...

      Abstract. Convolutional Neural Network (CNN) has been widely used in bearing fault diagnosis and many satisfying results have been achieved. However, nearly all the published researches...

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