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Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy.

, , , , , and . Knowl. Based Syst., (December 2023)

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A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information., , , , and . IEEE Trans. Instrum. Meas., (2024)Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases., , , , , and . I2MTC, page 1-5. IEEE, (2016)Fault Feature Extractor Based on Bootstrap Your Own Latent and Data Augmentation Algorithm for Unlabeled Vibration Signals., , , and . IEEE Trans. Ind. Electron., 69 (9): 9547-9555 (2022)Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy., , , , , and . Knowl. Based Syst., (December 2023)Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions., , , and . INDIN, page 755-762. IEEE, (2020)Extended Noise Resistant Correlation Method for Period Estimation of Pseudoperiodic Signals., , , and . IEEE Trans. Instrum. Meas., (2021)Generalized Autocorrelation Method for Fault Detection Under Varying-Speed Working Conditions., , , and . IEEE Trans. Instrum. Meas., (2021)A Data Privacy Protection Diagnosis Framework for Multiple Machines Vibration Signals Based on a Swarm Learning Algorithm., , , , and . IEEE Trans. Instrum. Meas., (2023)Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions., , , , , and . IEEE Trans. Ind. Informatics, 20 (4): 6356-6368 (April 2024)Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions., , , , , and . Reliab. Eng. Syst. Saf., (June 2023)