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A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions.

, , , , , and . IEEE Trans. Instrum. Meas., (2021)

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Rotating Machinery Fault Identification via Adaptive Convolutional Neural Network., , , , , , , and . J. Sensors, (2022)Digital twin-assisted dual transfer: A novel information-model adaptation method for rolling bearing fault diagnosis., , , , , and . Inf. Fusion, (2024)Two-class model based on nonlinear manifold learning for bearing health monitoring., and . I2MTC, page 1-6. IEEE, (2016)Single-domain incremental generation network for machinery intelligent fault diagnosis under unknown working speeds., , , , , and . Adv. Eng. Informatics, (2024)A Weight Multinet Architecture for Bearing Fault Classification Under Complex Speed Conditions., , , , , and . IEEE Trans. Instrum. Meas., (2021)Sinc-Based Multiplication-Convolution Network for Small-Sample Fault Diagnosis and Edge Application., , , , and . IEEE Trans. Instrum. Meas., (2023)An interpretable multiplication-convolution residual network for equipment fault diagnosis via time-frequency filtering., , , and . Adv. Eng. Informatics, (2024)Energy-Fluctuated Multiscale Feature Learning With Deep ConvNet for Intelligent Spindle Bearing Fault Diagnosis., and . IEEE Trans. Instrum. Meas., 66 (8): 1926-1935 (2017)Sparse Signal Reconstruction Based on Time-Frequency Manifold for Rolling Element Bearing Fault Signature Enhancement., , and . IEEE Trans. Instrum. Meas., 65 (2): 482-491 (2016)Transient Feature Extraction Based on Time-Frequency Manifold Image Synthesis for Machinery Fault Diagnosis., , , and . IEEE Trans. Instrum. Meas., 68 (11): 4242-4252 (2019)