Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis
Y Dong, H Jiang, M Mu, X Wang - Advanced Engineering Informatics, 2024 - Elsevier
Aiming at the problems of low information utilization and lack of feature mining capability in
multi-sensor fusion networks, this study presents a multi-sensor data fusion-enabled …
multi-sensor fusion networks, this study presents a multi-sensor data fusion-enabled …
An enhanced meta-learning network with sensitivity penalty for cross-domain few-shot fault diagnosis
H Jiang, M Mu, W Jiang, Y Dong… - … Science and Technology, 2024 - iopscience.iop.org
Big data-driven rotating machine intelligent diagnostic technology has gained widespread
applications. In practice, however, fault data are limited as well as inconsistencies in fault …
applications. In practice, however, fault data are limited as well as inconsistencies in fault …
A novel feature dimensionality reduction method for gearbox fault diagnosis with HMSDE, DANCo-DDMA and KELM
P Huang, Y Gu, G Qiu - Nonlinear Dynamics, 2024 - Springer
This paper proposes a gearbox fault diagnosis method with HMSDE, DANCo-DDMA and
AOA-KELM. Firstly, the raw HMSDE features are extracted from the raw time domain signals …
AOA-KELM. Firstly, the raw HMSDE features are extracted from the raw time domain signals …