Author

Qingjie Shi

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Open access Oct 2026

Cross-Condition Vibration-Based Fault Diagnosis of Rolling Bearings Using Dual-Branch Feature Fusion and MK-MMD Domain Alignment

Abstract A cross-condition fault diagnosis method is developed for multi-channel vibration measurements. For every 0.5-s segment, Short-Time Fourier Transform (STFT) spectrograms and Fast Fourier Transform (FFT) spectral sequences are generated from the same four-channel observation. A convolutional neural network and...

Yan Han, Yin Luo, Qing-Jie Shi et al. · Measurement Science Review · 0 citations

Conference Jul 2026

Data-driven edge intelligence two-axis servo system: multimodal end-to-end friction diagnosis

This paper proposes a physics-based, edge AI-driven multimodal fault diagnosis method that avoids the need for complex manual feature engineering, features low computational complexity and high deployment convenience, and meets the stringent computational constraints of embedded robot controllers.

Qingjie Shi, Bo Ning, Chaojun Li · International Conference on... · 0 citations