Transferable common feature space mining for fault diagnosis with imbalanced data

•To fully explore the health data, fault diagnosis is divided into two stages.•A weakly supervised domain adaptive Autoencoder is developed to mine common feature.•A unique feature branch is combined to form a dual channel module of relation computation.•Few shot training strategy is employed to balance the training progress.