Yiding Liu

A Frequency-Domain Blind Deconvolution Method Based on Weight Feature Extraction and Its Application in Rolling Bearing Fault Diagnosis

Rolling bearing faults typically exhibit sideband structures in the frequency domain, yet conventional blind deconvolution methods operate in the time domain and rely on prior fault periods. To reduce this dependence and broaden applicability, this paper presents a frequency-doma...

An Adaptive Fault Features Localization Method for Wind Turbine Bearing via Graph Signal Spectrum Enhancement

Wind turbine bearings operate long-term under complex and variable operating conditions, where fault impulse characteristics are easily submerged by strong noise. Traditional graph signal processing-based bearing fault diagnosis methods are limited by fixed graph topology, empiri...