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Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery.

, , , , , and . Reliab. Eng. Syst. Saf., (2022)

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Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection., and . Knowl. Based Syst., (2019)Deep regularized variational autoencoder for intelligent fault diagnosis of rotor-bearing system within entire life-cycle process., , , and . Knowl. Based Syst., (2021)A Bearing Fault Diagnosis Method Based on PAVME and MEDE., , , and . Entropy, 23 (11): 1402 (2021)Multi-focus image fusion using learning based matting with sum of the Gaussian-based modified Laplacian., , , , and . Digit. Signal Process., (2020)CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery., , , , , , , , and . Inf. Fusion, (July 2023)Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data., , , , and . Expert Syst. Appl., (July 2023)Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions., , , and . Reliab. Eng. Syst. Saf., (2022)Dually attentive multiscale networks for health state recognition of rotating machinery., , , and . Reliab. Eng. Syst. Saf., (2022)Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions., , , , , , and . Reliab. Eng. Syst. Saf., (2023)Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery., , , , , and . IEEE Trans. Instrum. Meas., (2023)