Liwei Zhan

According to our database, Liwei Zhan authored at least 9 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Study on Noncontact Aviation Bearing Faults and Speed Monitoring.

Jianpeng Ma, Shi Zhuo, Chengwei Li, Liwei Zhan, Guang-Zhu Zhang

IEEE Trans. Instrum. Meas., 2021

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

Jianpeng Ma, Shi Zhuo, Chengwei Li, Liwei Zhan, Guang-Zhu Zhang

Symmetry, 2021

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

Jianpeng Ma, Zhenghui Li, Chengwei Li, Liwei Zhan, Guang-Zhu Zhang

Entropy, 2021

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

Jianpeng Ma, Song Han, Chengwei Li, Liwei Zhan, Guang-Zhu Zhang

Entropy, 2021

2020

Development of a Novel Detection Method to Measure the Cage Slip of Rolling Bearing.

Liwei Zhan, Fang Ma, Zhenghui Li, Haitao Li, Chengwei Li

IEEE Access, 2020

2019

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

Fang Ma, Liwei Zhan, Chengwei Li, Zhenghui Li, Tingjian Wang

Symmetry, 2019

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

Liwei Zhan, Fang Ma, Jingjing Zhang, Chengwei Li, Zhenghui Li, Tingjian Wang

Sensors, 2019

2017

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

Liwei Zhan, Chengwei Li

Entropy, 2017

2015

Friction Signal Denoising Using Complete Ensemble EMD with Adaptive Noise and Mutual Information.

Chengwei Li, Liwei Zhan, Liqun Shen

Entropy, 2015