Renjie Zhang

A vision–language-guided multimodal framework with dynamic prototype memory for small-sample fault diagnosis

The results indicate that integrating V–L semantic priors with stable temporal representation learning and cross-modal alignment provides an effective solution for fault diagnosis under limited-sample and varying-condition settings.