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, empirical feature selection and poor noise rob...
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-domain blind deconvolution method based on w...
You-Sheng Yang, Lei Feng, Yi-Ding Liu et al.· Signals· 0 citations
This paper presents a Single-End Adaptive Traveling-Wave Fault Location (SEA-TWFL) model for overhead lines. In this model, a deep wavelet hybrid network (DWHN) is put forward for robust wavefront detection,. A virtual reference point (VRP) mechanism is proposed to eliminate dependence on communication from the remote...
Jun-Seung Yi, Peng Xu, Xiao-Peng Lu et al.· Journal of Dynamics Monitori...· 0 citations
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