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Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases., , , , , и . I2MTC, стр. 1-5. IEEE, (2016)Fault Feature Extractor Based on Bootstrap Your Own Latent and Data Augmentation Algorithm for Unlabeled Vibration Signals., , , и . IEEE Trans. Ind. Electron., 69 (9): 9547-9555 (2022)A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information., , , , и . IEEE Trans. Instrum. Meas., (2024)Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery., , , , , и . Reliab. Eng. Syst. Saf., (декабря 2023)Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy., , , , , и . Knowl. Based Syst., (2022)Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy., , , , , и . Knowl. Based Syst., (декабря 2023)Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis., , , , , , и . Knowl. Based Syst., (2023)Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions., , , и . INDIN, стр. 755-762. IEEE, (2020)Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples., , , , , и . Knowl. Based Syst., (2024)Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN., , , , и . Int. J. Prod. Res., 61 (23): 8252-8264 (декабря 2023)