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Open access Sep 2026

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-domain blind deconvolution method based on w...

You-Sheng Yang, Lei Feng, Yi-Ding Liu et al. · 0 citations
Open access Sep 2026

Method for enhancing the amplitude of fault features in wind power equipment via complex cepstrum-assisted optimization

Precise diagnosis of rolling bearing health conditions is essential for reducing the maintenance costs of rotating machinery. To overcome the limitations of conventional spectrum segmentation methods, which rely on fixed filter banks and struggle to adapt to complex modulation characteristics, this paper proposes a cep...

Yaxin Liu, Pengcheng Zhao, Chen-Yu Wang et al. · 0 citations

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