CNC-VLM: An RLHF-optimized industrial large vision-language model with multimodal learning for imbalanced CNC fault detection
Shandong University · University of Jinan · +6 more institutions
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Abstract
No abstract available for this paper.
Citation impact
9
total citations
- FWCI
- 115.38
- Percentile
- 100%
- References
- 31
Too recent for citation history.
Authors
7- ZWZisheng Wang
Shandong University, University of Jinan, Shandong Academy of Agricultural Machinery Sciences, Shandong Transportation Research Institute, Tsinghua University
- JCJunjie Chen
Beijing Jiaotong University
- CWChisen Wang
Beijing Jiaotong University
- CPCong PengCorresponding
Tsinghua University
- JXJianping Xuan
Huazhong University of Science and Technology
Topics & keywords
Topics
Keywords
- Fault detection and isolation
- Discriminative model
- Generalization
- Encoder
- Consistency (knowledge bases)
- Field (mathematics)
- Fault (geology)
- Semantics (computer science)
No related works found for this paper.
Funding
- STShijiazhuang Tiedao UniversityAward: KF2025-01
- NNNational Natural Science Foundation of ChinaAward: 52175094
- MOMinistry of Science and Technology of the People's Republic of China
- CPChina Postdoctoral Science FoundationAward: 2025M771374
- NSNatural Science Foundation of Beijing MunicipalityAward: F2024210051
- BJBeijing Jiaotong UniversityAward: 2024XKRC054
- NKNational Key Research and Development Program of ChinaAward: 2020YFB2007700