1. Arjovsky, M., Chintala, S., Bottou, L., 2017. Wasserstein generative adversarial networks. In: 34th International Conference on Machine Learning.
2. Generative adversarial networks selection approach for extremely imbalanced fault diagnosis of reciprocating machinery;Cabrera;IEEE Access,2019
3. Preprocessing-free gear fault diagnosis using small datasets with deep convolutional neural network-based transfer learning;Cao;IEEE Access,2018
4. Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network;Chen;Mech. Syst. Signal Process.,2023
5. Machinery health monitoring based on unsupervised feature learning via generative adversarial networks;Dai;IEEE/ASME Trans. Mechatronics,2020