Multi-Scale Attention Conditional Domain Adaptation for Electric Control Valve Fault Diagnosis Under Variable Working Conditions
This study proposes a collaborative fault diagnosis framework that combines a miniaturized high-frequency data acquisition system with a multi-scale attention-conditioned domain adversarial network (MS-ACDAN) and overcome the limitation of traditional domain adaptation methods that ignore category information.