A vision–language-guided multimodal framework with dynamic prototype memory for small-sample fault diagnosis
Rotating machinery fault diagnosis under limited training samples and varying operating conditions remains challenging, as data scarcity and domain shift often weaken the generalisation capability of deep learning models. Recent advances in large-scale pretrained foundation models have provided transferable priors for...