fig1

Figure 1. Overview of the proposed open-set diagnosis framework. Raw multichannel electrical signal records are first divided into training, validation, and test subsets, and sliding-window segmentation and standardization are then performed within each subset. A temporal encoder learns latent representations, which are used for prototype construction, uncertainty-aware distance estimation, and class-adaptive open-set rejection. GELU: Gaussian error linear unit.