Author

Xian-Xin Cui

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Open access Sep 2026

Blind spectrum-guided adaptive cyclic refinement network for bearing fault diagnosis under complex interference

The extraction of weak bearing fault features remains a formidable challenge in the field of mechanical health monitoring, particularly under strong background noise and non-periodic random shocks. Although blind deconvolution methods can effectively eliminate transmission path effects, their reliability is severely re...

Huai-Qian Bao, Xian-Xin Cui, Jian Wang et al. · Measurement science and tech... · 0 citations

Open access Aug 2026

Robust bearing fault diagnosis under strong impulsive interference via envelope spectrum harmonic-to-noise ratio guided sparse filtering

Early fault signatures of rolling bearings are typically very weak and are often contaminated by strong background noise and random impulsive interference. Traditional kurtosis-based feature extraction methods are highly sensitive to non-fault-related large random impacts, which may result in incorrect frequency-band s...

Zongzhen Zhang, Jing Wang, Jinrui Wang et al. · Measurement science and tech... · 0 citations

Open access Aug 2026

Research on Fault Location Technology of Transformer Acoustic Feature Recognition and Field Perception Data Fusion under Small Sample Parameters

Reliable transformer fault diagnosis under limited fault samples remains a significant challenge in intelligent power systems. To address the difficulties associated with weak fault signatures, severe environmental interference, and insufficient training samples, this study investigates transformer fault location techn...

Y.-G. Li, L.-J. Feng, R.-R. Li et al. · Advanced Electromagnetics · 0 citations