Hasil Pencarian - Liwei Zhan

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  1. 1
    A Comparative Study of Empirical Mode Decomposition-Based Filtering for Impact Signal

    A Comparative Study of Empirical Mode Decomposition-Based Filtering for Impact Signal oleh Liwei Zhan, Chengwei Li

    Diterbitkan 2016-12-01
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  2. 2
    Friction Signal Denoising Using Complete Ensemble EMD with Adaptive Noise and Mutual Information

    Friction Signal Denoising Using Complete Ensemble EMD with Adaptive Noise and Mutual Information oleh Chengwei Li, Liwei Zhan, Liqun Shen

    Diterbitkan 2015-08-01
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  3. 3
    Self-Adaptive Fault Feature Extraction of Rolling Bearings Based on Enhancing Mode Characteristic of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise

    Self-Adaptive Fault Feature Extraction of Rolling Bearings Based on Enhancing Mode Characteristic of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise oleh Fang Ma, Liwei Zhan, Chengwei Li, Zhenghui Li, Tingjian Wang

    Diterbitkan 2019-04-01
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  4. 4
    An Enhanced Intrinsic Time-Scale Decomposition Method Based on Adaptive Lévy Noise and Its Application in Bearing Fault Diagnosis

    An Enhanced Intrinsic Time-Scale Decomposition Method Based on Adaptive Lévy Noise and Its Application in Bearing Fault Diagnosis oleh Jianpeng Ma, Shi Zhuo, Chengwei Li, Liwei Zhan, Guangzhu Zhang

    Diterbitkan 2021-04-01
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  5. 5
    Bakanae Disease Resistance in Rice: Current Status and Future Considerations

    Bakanae Disease Resistance in Rice: Current Status and Future Considerations oleh Liwei Zhan, Ling Chen, Yuxuan Hou, Yuxiang Zeng, Zhijuan Ji

    Diterbitkan 2024-07-01
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  6. 6
    Development of a Novel Detection Method to Measure the Cage Slip of Rolling Bearing

    Development of a Novel Detection Method to Measure the Cage Slip of Rolling Bearing oleh Liwei Zhan, Fang Ma, Zhenghui Li, Haitao Li, Chengwei Li

    Diterbitkan 2020-01-01
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  7. 7
    Rolling Bearing Fault Diagnosis Based on Refined Composite Multi-Scale Approximate Entropy and Optimized Probabilistic Neural Network

    Rolling Bearing Fault Diagnosis Based on Refined Composite Multi-Scale Approximate Entropy and Optimized Probabilistic Neural Network oleh Jianpeng Ma, Zhenghui Li, Chengwei Li, Liwei Zhan, Guang-Zhu Zhang

    Diterbitkan 2021-02-01
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  8. 8
    A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction

    A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction oleh Jianpeng Ma, Song Han, Chengwei Li, Liwei Zhan, Guang-zhu Zhang

    Diterbitkan 2021-04-01
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  9. 9
    Rolling Bearing Feature Extraction Method Based on Improved Intrinsic Time-Scale Decomposition and Mathematical Morphological Analysis

    Rolling Bearing Feature Extraction Method Based on Improved Intrinsic Time-Scale Decomposition and Mathematical Morphological Analysis oleh Jianpeng Ma, Guodong Chen, Chengwei Li, Liwei Zhan, Guang-Zhu Zhang

    Diterbitkan 2021-03-01
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  10. 10
    Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features

    Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features oleh Liwei Zhan, Fang Ma, Jingjing Zhang, Chengwei Li, Zhenghui Li, Tingjian Wang

    Diterbitkan 2019-09-01
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