Fault Diagnosis of Dynamic Chemical Processes Based on Improved Residual Network Combined with a Gated Recurrent Unit
Saved in:
| Main Authors: | Shiqian HAN, Pingping WANG, Cheng ZHANG, Jun WANG |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Chemical Society
2025-02-01
|
| Series: | ACS Omega |
| Online Access: | https://doi.org/10.1021/acsomega.4c03757 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Enhanced Gated Recurrent Unit-Based Adaptive Fault Diagnosis of Rotating Machinery
by: Zhen Li, et al.
Published: (2022-01-01) -
Vehicle-to-Vehicle Communication Channel Estimator Based on Gate Recurrent Unit
by: Jun-Han Wang, et al.
Published: (2025-01-01) -
Gearbox Fault Diagnosis Under Noise and Variable Operating Conditions Using Multiscale Depthwise Separable Convolution and Bidirectional Gated Recurrent Unit with a Squeeze-and-Excitation Attention Mechanism
by: Xiaoteng Ma, et al.
Published: (2025-05-01) -
Emotion recognition based on convolutional gated recurrent units with attention
by: Zhu Ye, et al.
Published: (2023-12-01) -
Fault Prediction of Bearing Based on Dual Dimensional Perception and Composite Gated Recurrent Network
by: Wang Weiping, et al.
Published: (2024-01-01)