A5025398703- Agricultural and Environmental Management
- Remote Sensing and LiDAR Applications
- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Simulation and Modeling Applications
- Energy Load and Power Forecasting
- Smart Grid and Power Systems
- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Oil Palm Production and Sustainability
- Engineering Diagnostics and Reliability
- Power Systems and Renewable Energy
CRRC (China)
2025
Wuhan Institute of Technology
2024
Lanzhou Jiaotong University
2023
The imbalanced data in the collected samples affects generalization performance and accuracy of fault diagnosis model due to low frequency short duration industrial bearing failures actual production. In this study, an bearings technique under class-imbalance based on residual mixed self-attention Wasserstein conditional generative adversarial network one-dimensional convolutional neural (RMA-WCGAN-1DCNN) is proposed. To begin, RMA mechanism proposed extract time-domain frequency-domain...
In industrial processes, dynamic changes are one of the factors restricting performance soft sensor models. Meanwhile, inconsistency sampling rates often leads to problem mismatch between process variables and quality variables. This paper proposes a semi-supervised modeling method based on sample convolution interactive networks (SCINet). To extract information processes more fully, an unsupervised time series feature extractor was designed SCINet autoencoder, trained using complete data....