摘要清单
我的稿件Representation Learning with Coding全文被拒
ZhengFenli*, WuZhengpi
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
Fault monitoring algorithm for trackside acoustic bearings based on LLM全文被拒
Xue wenBao*
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
Doppler Correction Using Short-Time ESPRIT and Angle Interpolation Resamping for Wayside Acoustic Defective Bearing Diganosis全文被拒
Xue wenBao*
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
Bearing diagnosis of trackside acoustic defects based on MVDR and TIR全文被拒
Xue wenBao*
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
Remining Useful Life Prediction Using Neural Networks for gear全文被拒
KingShao*
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
A Novel Transformer Network for Anomaly Detection of Wind turbines全文录用
LifengCheng, YaoQingtao, ZhuGuopeng, XiangLing*, HuAijun
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
A Time-Series Segmentation and Contrastive Learning Method for Fault Diagnosis of Rotating Machinery全文录用
LeiZihao*, XiYue, FanJinsong, ShanSong, SuYu, WenGuangrui
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
Surface wear prediction and dynamic characteristics of gear pair considering friction and wear全文录用
XiongQiusheng, LiuXianzeng, CaoZheng, FanZhongding, LiQiqing, LiuYongbin*
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
Raining useful life prediction of rolling bearings based on CNN-GRU-MSA with multi-channel feature fusion全文录用
JinXiaoPeng, YanXiaoAn*, JiangDong, XiangLing
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
Remining Useful Life Prediction Using Graph Neural Networks for Rolling Bearing终稿
JinHuaiwang, ZhouYuanyuan, WangHang, LiuYongbin*, LuQi, FanZhongdin
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
Acoustic Detection Algorithm of Train Bearings Based on Phased Derivative of CFD and the Fallow-GSC终稿
BaoXuewen, LiuFang*, RenGuangwen, HanXianghong, ZhangBo, LiuYongbin
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
A multi-scenario prototype contrast federal transfer learning diagnosis method for rolling bearing终稿
LuQi, ZhouYuanyuan, WangHang, JinHuaiwang, LiuXianzeng, LiuYongbin*
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
A Domain Generalization Network with Discriminant Domain-Common Features for Fault Diagnosis Under Unseen Working Conditions终稿
PanDonghui*, HaoXiaobo, LiuYongbin
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
A Cosine-Weighted Interactive Enhancement Network for Wafer Map Defect Recognition with a Pretrain-Finetune Strategy全文录用
GuShulong, LeiZihao*, ZhaoDi, FengRui, SuYu, WenGuangrui
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
A Novel Combined Model for Condition Monitoring of Steam Turbine-generator Sets全文录用
ChenBohua, BingHankun, YaoQingtao, XiangLing*, HuAijun
Special Sessions > SS02 Artificial Intelligence in Condition Monitoring, Fault Diagnosis and Maintenance of Industrial Equipment
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重要日期
-
会议日期
10月31日
2024
至11月03日
2024
-
09月30日 2024
初稿截稿日期
-
11月12日 2024
注册截止日期
主办单位
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
联系方式
- Mrs. icsmd
- ic******@163.com
