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Journal Abstract Search

245 related items for PubMed ID: 35205457

  • 1. Composite Multivariate Multi-Scale Permutation Entropy and Laplacian Score Based Fault Diagnosis of Rolling Bearing.
    Ying W, Tong J, Dong Z, Pan H, Liu Q, Zheng J.
    Entropy (Basel); 2022 Jan 21; 24(2):. PubMed ID: 35205457
    [Abstract] [Full Text] [Related]

  • 2. Time-Shift Multi-scale Weighted Permutation Entropy and GWO-SVM Based Fault Diagnosis Approach for Rolling Bearing.
    Dong Z, Zheng J, Huang S, Pan H, Liu Q.
    Entropy (Basel); 2019 Jun 25; 21(6):. PubMed ID: 33267335
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  • 3. Use of Composite Multivariate Multiscale Permutation Fuzzy Entropy to Diagnose the Faults of Rolling Bearing.
    Yuan Q, Lv M, Zhou R, Liu H, Liang C, Cheng L.
    Entropy (Basel); 2023 Jul 12; 25(7):. PubMed ID: 37509995
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  • 4. Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals.
    Wang Z, Yao L, Chen G, Ding J.
    ISA Trans; 2021 Aug 12; 114():470-484. PubMed ID: 33454055
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  • 5. Refined composite multiscale slope entropy and its application in rolling bearing fault diagnosis.
    Wang J, Zheng J, Pan H, Tong J, Liu Q.
    ISA Trans; 2024 Sep 12; 152():371-384. PubMed ID: 39095286
    [Abstract] [Full Text] [Related]

  • 6. Time-Shift Multiscale Fuzzy Entropy and Laplacian Support Vector Machine Based Rolling Bearing Fault Diagnosis.
    Zhu X, Zheng J, Pan H, Bao J, Zhang Y.
    Entropy (Basel); 2018 Aug 13; 20(8):. PubMed ID: 33265691
    [Abstract] [Full Text] [Related]

  • 7. Fault Diagnosis for Rolling Element Bearings Based on Feature Space Reconstruction and Multiscale Permutation Entropy.
    Zhang W, Zhou J.
    Entropy (Basel); 2019 May 23; 21(5):. PubMed ID: 33267235
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  • 9. Intelligent Fault Diagnosis of Rolling Bearings Based on a Complete Frequency Range Feature Extraction and Combined Feature Selection Methodology.
    Xue Z, Huang Y, Zhang W, Shi J, Luo H.
    Sensors (Basel); 2023 Oct 27; 23(21):. PubMed ID: 37960468
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  • 11. Composite Multiscale Transition Permutation Entropy-Based Fault Diagnosis of Bearings.
    Guo J, Ma B, Zou T, Gui L, Li Y.
    Sensors (Basel); 2022 Oct 14; 22(20):. PubMed ID: 36298160
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  • 12. Rotating Machinery Fault Diagnosis Based on Improved Multiscale Amplitude-Aware Permutation Entropy and Multiclass Relevance Vector Machine.
    Chen Y, Zhang T, Zhao W, Luo Z, Lin H.
    Sensors (Basel); 2019 Oct 18; 19(20):. PubMed ID: 31635428
    [Abstract] [Full Text] [Related]

  • 13. Fault Recognition of Rolling Bearings Based on Parameter Optimized Multi-Scale Permutation Entropy and Gath-Geva.
    Wang H, Li Q, Yang S, Liu Y.
    Entropy (Basel); 2021 Aug 13; 23(8):. PubMed ID: 34441180
    [Abstract] [Full Text] [Related]

  • 14. A Rolling Bearing Fault Classification Scheme Based on k-Optimized Adaptive Local Iterative Filtering and Improved Multiscale Permutation Entropy.
    Zhang Y, Lv Y, Ge M.
    Entropy (Basel); 2021 Feb 05; 23(2):. PubMed ID: 33562457
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  • 15. Generalized refined composite multiscale fuzzy entropy and multi-cluster feature selection based intelligent fault diagnosis of rolling bearing.
    Zheng J, Pan H, Tong J, Liu Q.
    ISA Trans; 2022 Apr 05; 123():136-151. PubMed ID: 34103159
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  • 20. A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction.
    Ma J, Han S, Li C, Zhan L, Zhang GZ.
    Entropy (Basel); 2021 Apr 11; 23(4):. PubMed ID: 33920417
    [Abstract] [Full Text] [Related]

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