Yufeng Su

ORCID: 0009-0001-3360-1211
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About
Contact & Profiles
Research Areas
  • Fault Detection and Control Systems
  • Shape Memory Alloy Transformations
  • Advanced Surface Polishing Techniques
  • Robot Manipulation and Learning
  • Iterative Learning Control Systems
  • Machine Fault Diagnosis Techniques
  • Advanced Data Processing Techniques
  • Prosthetics and Rehabilitation Robotics
  • Gear and Bearing Dynamics Analysis
  • Anomaly Detection Techniques and Applications
  • Robotic Mechanisms and Dynamics

Harbin Institute of Technology
2019

Yanshan University
2009

Abstract Extracting cyclostationary features from vibration signals is one of the most effective approaches in bearing fault diagnosis. However, current methods require prior knowledge cycle-frequencies or other statistical information, which constrains their applicability across various scenarios. In this paper, we introduce a novel dual adaptive filtering method, incorporating cycle-frequency estimation to solve existing problem. The method firstly employs an line enhancer (ALE) isolate...

10.1088/1361-6501/ad4667 article EN Measurement Science and Technology 2024-05-02
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