J Tian, D Han, M Li, P Shi - Knowledge-Based Systems, 2022 - Elsevier
In modern industrial equipment maintenance, transfer learning is a promising tool that has been widely utilized to solve the problem of the insufficient generalization ability of …
Y Guo, J Zhang, B Sun, Y Wang - Sensors, 2023 - mdpi.com
Deep Transfer Learning (DTL) signifies a novel paradigm in machine learning, merging the superiorities of deep learning in feature representation with the merits of transfer learning in …
J Tian, D Han, HR Karimi, Y Zhang, P Shi - Neural Networks, 2024 - Elsevier
Recently, due to the difficulty of collecting condition data covering all mechanical fault types in industrial scenarios, the fault diagnosis problem under incomplete data is receiving …
X Zheng, Z He, J Nie, P Li, Z Dong, M Gao - Applied Acoustics, 2024 - Elsevier
Based on massive samples collected from various working conditions, multi-source domain adaptation-based fault diagnosis methods have been a promising way to improve the …
X Zheng, J Nie, Z He, P Li, Z Dong, M Gao - Reliability Engineering & …, 2024 - Elsevier
Multi-source domain adaptation, an effective solution for rotating machinery fault diagnosis, has achieved great success. However, previous multi-source domain adaptation based …
As big data mining technology penetrates into various fields, cross-domain topics driven by data predictive analysis have become important entry points for solving traditional problems …
H Ke, Z Chen, J Xu, X Fan, C Yang… - 2023 IEEE 12th Data …, 2023 - ieeexplore.ieee.org
Due to the scarcity of fault samples and the weakness of processing higher-order interactive information, the most existing intelligence methods fail to achieve the optimal effect in fault …
A Thompson - Available at SSRN 4214809, 2022 - papers.ssrn.com
Transfer learning is a concept in machine learning in which we relax the assumption that the training and testing data be from the same distribution. This allows us to build a model on a …
Y Vishe, S Hariharan - 2024 2nd International Conference on …, 2024 - ieeexplore.ieee.org
The Tumour Detection model makes it easier to locate the tumor in a human brain by using a multi-modal approach. Our model integrates ResNet and ResUNet to predict as well as …