Qun Zhu

Condition-aware meta-learning for few-shot fault diagnosis across multiple conditions

This paper proposes a knowledge graph-guided condition-aware meta-learning (KG-CAML) method for few-shot fault diagnosis under sensor data variations induced by fluctuating raw materials and changing operational loads. Within a meta-learning framework, KG-CAML integrates data-driven sensor correlations with expert proc...