Adversarial Mutual Information-Guided Single Domain Generalization Network for Intelligent Fault Diagnosis

Domain generalization-based fault diagnosis has recently emerged to address domain shift problems. Most existing methods learn domain-invariant representations from multiple source domains. However, valuable fault samples from polytropic working conditions are difficult to be collected, and it is quite common that available data are from a single working condition. Therefore, this article proposes an adversarial mutual information-guided single …