| 序号 |
姓名 |
申报人角色 （独著/第 作者） |
论文名称 |
期刊名 |
发表年\期 |
级别 |
|
计分 |
| 1 |
满君丰 |
通讯1
单位2 |
An Automatic Fault Detection Method of Freight Train Images Based on BD-YOLO |
IEEE Access |
2022, 10: 39613- 39626 |
SCIE |
B级 |
二区 |
| 2 |
满君丰 |
1.1 |
Bearing Remaining Useful Life Prediction Based on AdCNN and CWGAN under Few Samples |
Shock and Vibration |
2022.06 |
SCI |
B级 |
三区 |
| 3 |
满君丰 |
通讯1
单位2 |
Two-Stage Multi-Scale Fault Diagnosis Method for Rolling Bearings with Imbalanced Data |
Machines |
2022, 10(5): 1-23 |
SCIE |
A2级 |
二区 |
| 4 |
满君丰 |
通讯1
单位2 |
An improved meta-learning framework to optimize bearing fault diagnosis under data imbalance |
Journal of Sensors |
2022,10 |
SCI |
B级 |
三区 |
| 5 |
满君丰 |
通讯1
单位2 |
融合时空特征的滚动轴承多位置多类型故障诊断方法 |
计算机集成制造系统 |
2022.9 |
EI |
C级 |
|
| 6 |
满君丰 |
1.1 |
Computation Offloading Method for Large-Scale Factory Access in Edge-Edge Collaboration Mode |
Journal of Database Management (JDM) |
2023.34（1）58-58 |
SCI |
A2级 |
二区 |
| 7 |
满君丰 |
一作
单位2 |
Semi-Supervised Blade Icing Detection Method Based on Tri-XGBoost |
Actuator |
2023, 12, 58 |
SCI |
A2级 |
二区 |
| 8 |
满君丰 |
通讯1
单位2 |
Personalized movie recommendations based on deep representation learning |
PeerJ Computer Science |
2023.9 |
SCI |
A2级 |
二区 |
| 9 |
满君丰 |
通讯1
单位2 |
Semi-supervised multivariate time series anomaly detection for wind turbines using SCADA data |
Reliability Engineering & System Safety |
2023.5 |
SCI |
A1级 |
一区 |
| 10 |
白斌 |
通讯1
单位2 |
Investigation on Free Vibration of Rotating Cylindrical Shells with Variable Thickness |
Shock and Vibration |
2023.2023 |
SCI |
B级 |
三区 |
| 11 |
马俊杰 |
通讯1
单位2 |
Inertia Identification and Analysis for High-Power-Electronic Penetrated Power System Based on Measurement Data |
Energies |
2023.16（10） |
SCI |
B级 |
三区 |
| 12 |
曲锴 |
通讯1
单位2 |
Identification method of typical defects in transmission lines based on YOLOv5 object detection algorithm |
Energy Reports |
2023.9 |
SCI |
A2级 |
二区 |
