Zhen-Zhen Jin

CSFENet: a lightweight edge network for UAV-based forest fire detection with generative data

Counterfactual domain generalization with adaptive source reweighting and causal disentanglement for bearing fault diagnosis

A multi-source domain generalization framework for bearing fault diagnosis based on class-conditional feature distance weighting and mechanism–style disentanglement that can effectively mitigate the influence of domain-related interference on fault identification and improve diagnostic stability in unseen domains is pr...

A multi-level constrained vibration–acoustic multimodal contrastive learning for cross-machine motor fault diagnosis

A novel vibration–acoustic multimodal contrastive learning framework designed to jointly regularize vibration–acoustic features at the levels of sample distribution, feature statistics, and feature structure enhances multi modal consistency, feature discriminability, and information diversity.

A Few-Shot Fault Diagnosis Algorithm for Rotating Machinery Based on Time-Frequency Dual-Stream Mamba and Joint Metric Learning

Experimental results show that the proposed few-shot fault diagnosis method consistently outperforms comparison methods under different rotational speeds, training sample scales, and 8-way 1-shot/5-shot tasks, validating its effectiveness and robustness for few-shot rotating machinery fault diagnosis.