Showing 21 - 40 results of 47 for search '"Paderborn University"', query time: 0.06s Refine Results
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    Bearing Fault Diagnosis Method based on RLMD and Kmeans++ by Shaoting Yan, Yuguo Zhou, Yanbo Ren, Shiliang Liu, Shidang Yan

    Published 2021-02-01
    “…The simulated bearing data with different signal-to-noise ratios and bearing data from the Paderborn university test bench are used to evaluate the effectiveness of the proposed method. …”
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    Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance by Hao Luo, Xinyue Wang, Li Zhang

    Published 2025-01-01
    “…Experiments conducted across three imbalanced scenarios using the Case Western Reserve University (CWRU) and Paderborn University (PU) datasets demonstrate that NG-UDAN is effective in both single-source and mixed-source domain adaptation. …”
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    Article
  19. 39

    Computational intelligence to detect bearing faults using optimal features from motor current signals by G. Geetha, P. Geethanjali

    Published 2024-12-01
    “…The study aims to find the fewest and most reliable features in the dataset from Paderborn University so that a simple and accurate way can be found to diagnose faults using current signals. …”
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    Article
  20. 40

    Towards a Standard Benchmarking Framework for Domain Adaptation in Intelligent Fault Diagnosis by Mohammed M. Farag

    Published 2025-01-01
    “…The framework is applied to two popular datasets – the Case Western Reserve University (CWRU) and Paderborn University (PU) bearing fault datasets. We demonstrate the framework’s capabilities and application mechanisms using a CNN classifier and an adversarial DA algorithm. …”
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    Article