A systematic review on imbalanced learning methods in intelligent fault diagnosis
The theoretical developments of data-driven fault diagnosis methods have yielded fruitful
achievements and significantly benefited industry practices. However, most methods are …
achievements and significantly benefited industry practices. However, most methods are …
Detection of the pipeline elbow erosion by percussion and deep learning
Elbows are commonly used in pipelines to change the direction of flow, and the pipeline
elbows are prone to erosion caused by the transported medium. Detection of the pipeline …
elbows are prone to erosion caused by the transported medium. Detection of the pipeline …
Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network
R Liu, D Xiao, D Lin, W Zhang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Bearing anomaly detection plays a crucial role in modern industries as most rotating
machinery faults are attributed to faulty bearings. However, acquiring fault samples in …
machinery faults are attributed to faulty bearings. However, acquiring fault samples in …
Fault diagnosis for spent fuel shearing machines based on Bayesian optimization and CBAM-ResNet
P Wang, J Chen, Z Wang, W Shao - Measurement Science and …, 2023 - iopscience.iop.org
Spent fuel shearing machines in nuclear power plants are important equipment for the head
end of spent fuel reprocessing in power reactors. Condition monitoring and fault diagnosis …
end of spent fuel reprocessing in power reactors. Condition monitoring and fault diagnosis …
A review of bearing fault diagnosis based on weakly supervised learning
B Zhao, J Cen, W Si, H Huang, Z Yang… - 2023 CAA Symposium …, 2023 - ieeexplore.ieee.org
In the era of big data, mechanical intelligent fault diagnosis is more intelligent due to the
large-scale collection of data. However, fault data is often difficult to obtain, resulting in small …
large-scale collection of data. However, fault data is often difficult to obtain, resulting in small …
Cn2a-capsnet: a capsule network and CNN-attention based method for COVID-19 chest X-ray image diagnosis
H Zhang, Z Lv, S Liu, Z Sang, Z Zhang - Discover Applied Sciences, 2024 - Springer
Due to its high infectivity, COVID-19 has rapidly spread worldwide, emerging as one of the
most severe and urgent diseases faced by the global community in recent years. Currently …
most severe and urgent diseases faced by the global community in recent years. Currently …
Research Review of Capsule Network in Mechanical Fault Diagnosis
D Yang, C Guan, Y Kuang - papers.ssrn.com
As artificial intelligence develops by leaps and bounds, capsule network (CN), which is a
vital model of neural networks, has extensive application prospects in the sphere of …
vital model of neural networks, has extensive application prospects in the sphere of …