From post

Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model.

, , , , и . Reliab. Eng. Syst. Saf., (апреля 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery., , , , , , , и . Expert Syst. Appl., (декабря 2023)Introducing article numbering to Computer Science Review.. Comput. Sci. Rev., (2019)Fractional Fourier Domain Feature Fusion Combining Multichannel Targeting Extreme Learning Machine for Bearing Fault Diagnosis., , , , и . IEEE Trans. Instrum. Meas., (2023)Publisher's Note.. Vis. Informatics, 4 (4): iii (2020)Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model., , , , и . Reliab. Eng. Syst. Saf., (апреля 2023)A local RBFs-based DQ approximation for Riesz fractional derivatives and its applications., , и . Numer. Algorithms, 90 (1): 159-196 (2022)Fault transfer diagnosis of rolling bearings across different devices via multi-domain information fusion and multi-kernel maximum mean discrepancy., , , , , и . Appl. Soft Comput., (2024)Adaptive energy-constrained variational mode decomposition based on spectrum segmentation and its application in fault detection of rolling bearing., , , и . Signal Process., (2021)Publisher note., и . Intell. Syst. Appl., (2021)Rolling Bearing Fault Detection Based on Improved Piecewise Unsaturated Bistable Stochastic Resonance Method., , и . IEEE Trans. Instrum. Meas., (2021)