A dual-view alignment-based domain adaptation network for fault diagnosis

Abstract Domain adaptation is a major area of interest in intelligent equipment maintenance and fault diagnosis in recent years. Traditional machine/deep-learning-based fault diagnosis methods assume that the source and target domains share the same distribution, which may fail and lead to catastrophic damages. Many domain adaptation-based fault diagnosis methods have been proposed to address the domain shift problem. However, most of them only …