Wei Fan

Orcid: 0000-0002-5980-4527

Affiliations:
  • Jiangsu University, School of Mechanical Engineering, Zhenjiang, China
  • City University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong (PhD 2018)


According to our database1, Wei Fan authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Simultaneous Measurement of Blade Tip Clearance and Blade Tip Timing With Microwave Sensor.
IEEE Trans. Instrum. Meas., 2024

Adaptive Feature-Oriented Dictionary Learning and Sparse Classification Framework for Bearing Compound Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

Robust Separation-Enhanced NRC Method for Multiple Periodicity Detection: Applications in Bearing Compound Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

2023
A Reinforced Noise Resistant Correlation Method for Bearing Condition Monitoring.
IEEE Trans Autom. Sci. Eng., April, 2023

A New Safe-Level Enabled Borderline-SMOTE for Condition Recognition of Imbalanced Dataset.
IEEE Trans. Instrum. Meas., 2023

Constraint Linear Model for Period Estimation and Sparse Feature Extraction Based on Iterative Likelihood Ratio Test.
IEEE Trans. Ind. Electron., 2023

2021
Generalized Autocorrelation Method for Fault Detection Under Varying-Speed Working Conditions.
IEEE Trans. Instrum. Meas., 2021

Extended Noise Resistant Correlation Method for Period Estimation of Pseudoperiodic Signals.
IEEE Trans. Instrum. Meas., 2021

Bearing Fault Detection via B-Spline Constructed Sparse Method.
IEEE Trans. Instrum. Meas., 2021

2018
A Noise Resistant Correlation Method for Period Detection of Noisy Signals.
IEEE Trans. Signal Process., 2018

A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings.
IEEE Trans Autom. Sci. Eng., 2018

EEMD-Based Steady-State Indexes and Their Applications to Condition Monitoring and Fault Diagnosis of Railway Axle Bearings.
Sensors, 2018


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