A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions

•A novel DGNet_MSAC is proposed for cross-domain generalization fault diagnosis.•Multiple domain-specific auxiliary classifiers are designed in the DGNet_MSAC.•Domain-specific features are removed by the convolutional auto-encoder module.•Domain-invariant features are learned by the inter-domain alignment strategy.