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Two-class model based on nonlinear manifold learning for bearing health monitoring.

, and . I2MTC, page 1-6. IEEE, (2016)

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An Efficient Incremental Learning of Bearing Fault Imbalanced Data Set via Filter StyleGAN., , , , , and . IEEE Trans. Instrum. Meas., (2021)A Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data., , , , , and . Knowl. Based Syst., (October 2023)Two-class model based on nonlinear manifold learning for bearing health monitoring., and . I2MTC, page 1-6. IEEE, (2016)A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples., , , , , , and . Eng. Appl. Artif. Intell., (2024)Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions., , , , , , , and . IEEE Access, (2021)Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application., , , , and . IEEE Trans. Instrum. Meas., (2023)A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions., , , , , and . IEEE Trans. Instrum. Meas., (2021)An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis., , , , , , and . IEEE Trans. Instrum. Meas., (2023)Multiple local domains transfer network for equipment fault intelligent identification., , , , , and . Eng. Appl. Artif. Intell., (April 2023)ConditionSenseNet: A Deep Interpolatory ConvNet for Bearing Intelligent Diagnosis Under Variational Working Conditions., , , and . IEEE Trans. Ind. Informatics, 18 (10): 6558-6568 (2022)