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Tian-Ci Zhang

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Open access Aug 2026

Multimodal Heterogeneous CNN with Adaptive Modality Fusion for Intelligent Fault Diagnosis of Bearings

The proposed heterogeneous multimodal heterogeneous convolutional neural network framework is not restricted to bearings and can be readily extended to other intelligent condition monitoring tasks involving heterogeneous sensor fusion, such as gearboxes, motors, and other rotating machinery.

Chang Sun, Chenkun Wang, Shiwei Huang et al. · 0 citations
Open access Aug 2026

Prior-enhanced cross-modal vibration and acoustic fusion network based on directed attention for machine fault diagnosis

The results of two machine fault experiments demonstrate that the proposed prior-enhanced cross-modal vibration and acoustic data fusion network based on directed attention mechanisms can achieve a significant leading advantage in the same diagnostic tasks.

Qi-Bo Wang, Tian-Ci Zhang · 0 citations
Open access Aug 2026

MSFormer: Multi-Scale Transformer for Robust Fault Diagnosis of Machines Under Complex Conditions

The proposed MSFormer incorporates a parallel multi-scale Convolutional Neural Network architecture and hierarchical Transformer modules to comprehensively process 1D vibration signals to provide a powerful and precise intelligent solution for mechanical fault diagnosis.

Shu Guo, Jin Li, Tian-Ci Zhang · 0 citations

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