Integrating causal representations with domain adaptation for fault diagnosis

Ming Jiang, Kuang Zhou, Jiahui Gao, Fode Zhang

Abstract: Highlights•We propose a new cross-domain fault diagnosis approach based on causal representation learning.•It can extract invariant features across domains while reducing the influence of irrelevant ones.•Experimental results on various datasets demonstrate the effectiveness of the proposed method.