黄承赓

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副教授
硕士生导师
- 性别:男
- 学历:博士研究生毕业
- 学位:工学博士学位
- 学科:仪器科学与技术
- 办公地点:电子科技大学清水河校区成电国际创新中心B543
- 联系方式:25717a1b30a81384e29f645450fd66b374f0e81509b71536caf0bae1421ecde3f44156876f7615480a734c5289d226c00dcf66e795fda4ee018e994772c6b6804eabf08a09febe47f99be23bdb9fec2f16cb1a9640a3868921f36825e193eb2c0e12d0f10a9c3bd03d1bab76a262339f9f38bce6cb3051ef564bb1e36d03fae7
- 电子邮箱:25717a1b30a81384e29f645450fd66b374f0e81509b71536caf0bae1421ecde3f44156876f7615480a734c5289d226c00dcf66e795fda4ee018e994772c6b6804eabf08a09febe47f99be23bdb9fec2f16cb1a9640a3868921f36825e193eb2c0e12d0f10a9c3bd03d1bab76a262339f9f38bce6cb3051ef564bb1e36d03fae7
访问量:
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数据知识双驱动的浮式风机故障精细化建模表征与智慧运维闭环调控研究, 2026/09/01, 在研, 国家自然科学基金面上项目,主持
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材料多种性能数据筛选/增强研究服务-2027/02/28, 在研, 中国兵器装备集团西南技术工程研究所国防外委项目,主持
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航空发动机故障数据集扩充与故障预测研究, 国防外委项目-2026/06/30, 已结题, 中国航发四川燃气涡轮研究院国防外委项目,主研
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有机电化学晶体管原位传感机理及传感器-2027/11/30, 在研, 国家重点研发计划项目,子课题负责人
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有机电化学晶体管传感阵列集成及检测系统研究-2027/11/30, 在研, 国家重点研发计划课题,子课题负责人
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基于分布式机器学习的大规模风电齿轮箱集群智能协同故障预测方法研究-2022/03/31, 已结题, 中国博士后科学基金第69批面上项目,主持
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Men, C., Han, Y., Wang, P., Tao, J., & Huang, C. G. (2025). The interpretable reasoning and intelligent decision-making based on event knowledge graph with LLMs in fault diagnosis scenarios..IEEE Transactions on Instrumentation and Measurement,74:1-16
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Huang, C. G., Men, C., Yazdi, M., Han, Y., & Peng, W. (2022). Transfer fault prognostic for rolling bearings across different working conditions: a domain adversarial perspective..The International Journal of Advanced Manufacturing Technology:1-19
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Li, H., Yazdi, M., Huang, C. G.*, & Peng, W. (2022). A reliable probabilistic risk-based decision-making method: Bayesian Technique for Order of Preference by Similarity to Ideal Solution (B-TOPSIS)..LSoft Computing,26(22):12137-12153
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Sirui Ma, Yunxiao Chen, Xinyu Xia, Zhi Wang, Yuhang Wei, Xiang Li, Yuyi Sun, Dan Zhao, Ling Zhang, Wei Huang, Cheng-Geng Huang*, “RISKVLM: Interpretable CRRT Venous-Chamber Thrombus Risk Assessment Using Near-Infrared Temporal Evidence”.中国仪器仪表学会学术年会 (国内一级学会年会),优秀学术成果
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Zhu, R., Peng, W., Han, Y., & Huang, C. G.* (2022). Intelligent health monitoring of machine tools using a Bayesian multibranch neural network..IEEE Sensors Journal,22(12):12183-12196
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Z. Deng, Y. Yu, Y. Zhou, J. Zhou, M Xie, B. Tao, Y. Lai, J. Wen, Z. Fan, X. Liu, D Zhao, L. W. Feng, Y. Cheng, C. G. Huang*, W Yue*, W Huang*.. (2024). Ternary logic circuit and neural network integration via small molecule‐based antiambipolar vertical electrochemical transistor..Advanced Materials,36(41):2405115