Nan Li

Interpretable Generative Model for Aero-Engine Fault Clustering

Data-driven models are increasingly used to monitor complex industrial systems under varying operating conditions; however, their practical adoption is often constrained by limited labeled data and a lack of interpretability from an end-user perspective, where low-rank representations and context-irrelevant diagnosis a...