Zilong Liu

Knowledge-Guided Graph iTransformer Enhanced by Reinforcement Learning for Industrial Fault Diagnosis

Complex industrial processes are characterized by strong coupling, nonlinear interactions, and dynamic causal dependencies between variables, posing significant challenges for accurate fault diagnosis. Conventional data-driven methods often fail to effectively exploit structural prior knowledge, limiting their ability...