Seismic Impedance Inversion Using Fully Convolutional Residual Network and Transfer Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2963106
Abstract: In this letter, we use a fully convolutional residual network (FCRN) for seismic impedance inversion. After training with appropriate data, the FCRN can effectively predict impedance with high accuracy, and have good robustness against noise… read more here.
Keywords: seismic impedance; fully convolutional; impedance; residual network ... See more keywords
ITSC Fault Diagnosis for Five Phase Permanent Magnet Motors by Attention Mechanisms and Multiscale Convolutional Residual Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2023.3329245
Abstract: This article proposes a multiscale convolutional residual neural network algorithm with attention mechanisms for early interturn short circuit (ITSC) fault diagnosis of five-phase permanent magnet synchronous motors (FPPMSMs). First, a multiscale convolutional neural network with… read more here.
Keywords: attention; attention mechanisms; network; convolutional residual ... See more keywords