2 papers
cs.LG2025
Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation
Hanrong Zhang, Yifei Yao, Zixuan Wang +4
Class-incremental fault diagnosis requires a model to adapt to new fault classes while retaining previous knowledge. However, limited research exists for imbalanced and long-tailed…
cs.AI2024
Generalized Out-of-distribution Fault Diagnosis (GOOFD) via Internal Contrastive Learning
Xingyue Wang, Hanrong Zhang, Xinlong Qiao +4
Fault diagnosis is crucial in monitoring machines within industrial processes. With the increasing complexity of working conditions and demand for safety during production, diverse…