Publications by authors named "Yuchang Mo"
The safety and reliability of rotating machinery hinge significantly on the proper functioning of rolling bearings. In the last few years, there have been significant advances in the algorithms for intelligent fault diagnosis of bearings. However, the vibration signals collected by machines are inevitably affected by irrelevant noise because of the complex working environments of bearings.
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- Underwater target detection is crucial for environmental monitoring, but the accuracy is hindered by poor image quality in complex underwater settings and limited computational resources of equipment.* -
- The paper introduces AGW-YOLOv8, a lightweight and enhanced version of YOLOv8, incorporating techniques like LCAHE-WT for image improvement, CBAM for key feature extraction, and GSConv to reduce model complexity.* -
- Experimental results on the URPC2020 dataset show that AGW-YOLOv8 achieves a mean Average Precision (mAP) of 82.9%, surpassing YOLOv8 by 2.5% while maintaining fewer parameters (2.95M vs. 3.
Short-Term Photovoltaic Power Forecasting Based on Historical Information and Deep Learning Methods.
Sensors (Basel)
December 2022
The accurate prediction of photovoltaic (PV) power is essential for planning power systems and constructing intelligent grids. However, this has become difficult due to the intermittency and instability of PV power data. This paper introduces a deep learning framework based on 7.
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