Hannah Turner

Nonstationarity-Aware IoT Time-Series Modeling for Industrial Fault Detection and Diagnosis

An advanced neural network architecture that dynamically adapts to distribution shifts through a continuous domain adaptation mechanism and an adaptive attention module is proposed that significantly outperforms existing state-of-the-art diagnostic models in terms of accuracy, robustness, and generalization capabilities under severe operational transitions.