Adversarial domain adaptation of asymmetric mapping with CORAL alignment for intelligent fault diagnosis
Rolling bearings play a vital role in the overall operation of rotating machinery. In practice,
many learning methods for variable-speed fault diagnosis ignore task-specific decision …
many learning methods for variable-speed fault diagnosis ignore task-specific decision …
Interpretable Siamese dual attention enhancement transfer compound diagnostic model for unbalanced samples
K Xu, S Li, X Miao, H Wang, R Li - Structural Health …, 2025 - journals.sagepub.com
The intelligent transfer diagnosis model is used to address the issue of feature drift caused
by the changing working conditions of rotating parts in engineering. However, few models …
by the changing working conditions of rotating parts in engineering. However, few models …
A residual convolution transfer framework based on slow feature for cross-domain machinery fault diagnosis
S Chen, W Zheng, H Xiao, P Han, K Luo - Neurocomputing, 2023 - Elsevier
Intelligent fault diagnosis plays a vital role in ensuring the stable, reliable and safe operation
of machinery equipment. However, data distribution doesn't meet the assumption of the …
of machinery equipment. However, data distribution doesn't meet the assumption of the …
Domain adaptation network with double adversarial mechanism for intelligent fault diagnosis
Due to the mechanical equipment working under variable speed and load for a long time,
the distribution of samples is different (domain shift). The general intelligent fault diagnosis …
the distribution of samples is different (domain shift). The general intelligent fault diagnosis …
A novel symmetric stacked autoencoder for adversarial domain adaptation under variable speed
At present, most of the fault diagnosis methods with extensive research and good diagnostic
effect are based on the premise that the sample distribution is consistent. However, in reality …
effect are based on the premise that the sample distribution is consistent. However, in reality …
Study on transfer learning-based cross-spectral speckle image reconstruction method
H Zhao, Y Zhang, H Wu, J Pu - Physica Scripta, 2024 - iopscience.iop.org
In recent years, convolutional neural networks (CNNs) have been successfully applied to
reconstruct images from speckle patterns generated as objects pass through scattering …
reconstruct images from speckle patterns generated as objects pass through scattering …