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2020 – today
- 2021
[j9]Jianpeng Ma
, Zhenghui Li, Chengwei Li, Liwei Zhan, Guang-Zhu Zhang:
Rolling Bearing Fault Diagnosis Based on Refined Composite Multi-Scale Approximate Entropy and Optimized Probabilistic Neural Network. Entropy 23(2): 259 (2021)- [j8]Jianpeng Ma, Song Han, Chengwei Li, Liwei Zhan, Guang-Zhu Zhang:
A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction. Entropy 23(4): 451 (2021) - [j7]Jianpeng Ma, Shi Zhuo, Chengwei Li, Liwei Zhan, Guang-Zhu Zhang:
An Enhanced Intrinsic Time-Scale Decomposition Method Based on Adaptive Lévy Noise and Its Application in Bearing Fault Diagnosis. Symmetry 13(4): 617 (2021) - [j6]Jianpeng Ma, Shi Zhuo, Chengwei Li, Liwei Zhan, Guang-Zhu Zhang:
Study on Noncontact Aviation Bearing Faults and Speed Monitoring. IEEE Trans. Instrum. Meas. 70: 1-21 (2021) - 2020
- [j5]Liwei Zhan, Fang Ma, Zhenghui Li, Haitao Li, Chengwei Li:
Development of a Novel Detection Method to Measure the Cage Slip of Rolling Bearing. IEEE Access 8: 41929-41935 (2020)
2010 – 2019
- 2019
- [j4]Liwei Zhan, Fang Ma, Jingjing Zhang, Chengwei Li, Zhenghui Li, Tingjian Wang:
Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features. Sensors 19(18): 4047 (2019) - [j3]Fang Ma, Liwei Zhan, Chengwei Li, Zhenghui Li, Tingjian Wang:
Self-Adaptive Fault Feature Extraction of Rolling Bearings Based on Enhancing Mode Characteristic of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise. Symmetry 11(4): 513 (2019) - 2017
- [j2]Liwei Zhan, Chengwei Li:
A Comparative Study of Empirical Mode Decomposition-Based Filtering for Impact Signal. Entropy 19(1): 13 (2017) - 2015
- [j1]Chengwei Li, Liwei Zhan, Liqun Shen:
Friction Signal Denoising Using Complete Ensemble EMD with Adaptive Noise and Mutual Information. Entropy 17(9): 5965-5979 (2015)
Coauthor Index
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