摘要清单
我的稿件Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery全文被拒
LuQi, LiuYongbin*
Special Sessions > SS04 Diagnostic knowledge interpretation, transfer and incremental learning for critical components of equipment under variable operating conditions
A novel deep transfer adversarial dictionary learning strategy for bearing cross-domain fault diagnosis全文录用
DuZhengyu, LiuDongdong*, CuiLingli
Special Sessions > SS04 Diagnostic knowledge interpretation, transfer and incremental learning for critical components of equipment under variable operating conditions
A Partial Domain Adaptation Scheme Based on Dual-Weighted Adversarial Network for Bearing Fault Diagnosis全文录用
ZhuZhongkui*, ShiMingkuan, ChenBojian, DingChuancang, ShenChangqing, ZhouYanlin
Special Sessions > SS04 Diagnostic knowledge interpretation, transfer and incremental learning for critical components of equipment under variable operating conditions
Adversarial Domain Bias Removal Network for Cross-condition Bearing Fault Diagnosis终稿
ShenChangqing*
Special Sessions > SS04 Diagnostic knowledge interpretation, transfer and incremental learning for critical components of equipment under variable operating conditions
Single-Source Domain Generalization Fault Diagnosis of Wheel-Set Bearings Based on Flow Model and Contrastive Learning全文录用
WangJun*, YuBochao, RenHe, HuangWeiguo, ZhuZhongkui
Special Sessions > SS04 Diagnostic knowledge interpretation, transfer and incremental learning for critical components of equipment under variable operating conditions
Semi-supervised contrastive transfer learning network for fault diagnosis of cross-working condition rolling bearings全文录用
LuXingchi, JiangQuansheng, SongLiuyang, WangHuaqing*, SuZhengchang
Special Sessions > SS04 Diagnostic knowledge interpretation, transfer and incremental learning for critical components of equipment under variable operating conditions
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重要日期
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会议日期
10月31日
2024
至11月03日
2024
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09月30日 2024
初稿截稿日期
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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
