高天宇科研成果

基本信息 论文专著 学生指导 新建主栏目 基本信息 名称 高天宇，工学博士，助理教授，硕士生导师，主要从事高端装备智能运行与维护、人工智能驱动的故障诊断、多源信息融合等方面的研究工作。先后参与国家级基础科研计划、国家级技术基础科研、国家自然科学基金面上项目、黑龙江省自然科学基金面上项目等7项课题。发表学术论文20余篇，其中：SCI收录10余篇、EI收录20余篇。申请专利10余项，其中：已授权5项。获“国家奖学金”、“优秀毕业生”等荣誉奖励，入选哈尔滨工业大学“春雁英才计划”。IEEE会员、IES会员、电子学会会员、仪器仪表学会高级会员。 工作经历 标题 工作单位 哈尔滨工业大学 职位/职称 硕士生导师 起讫时间 2024.03-至今 简单介绍 标题 工作单位 哈尔滨工业大学 职位/职称 助理教授 起讫时间 2023.07-至今 简单介绍 教育经历 名称 2018.09-2023.06 哈尔滨工业大学，信息与通信工程学科 工学博士 2016.09-2018.07 哈尔滨工业大学，仪器科学与技术学科 工学硕士 2012.09-2016.07 哈尔滨工业大学，测控技术与仪器专业 工学学士 期刊论文 名称 [1] A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions. Information Fusion. Tianyu Gao，Jingli Yang *, Qing Tang. 2024.02. (SCI, IF=18.6). [2] A Fault Diagnosis Method Based on Feature-level Fusion of Multi-sensor Information for Rotating Machinery. Measurement Science and Technology. Tianyu Gao, Jingli Yang*, Baoqin Zhang, Yunlu Li, Huiyuan Zhang. 2023.12. (SCI, IF=2.4). [3] A novel incipient fault diagnosis method for analogue circuits based on an MLDLCN.Circuits, Systems and Signal Processing. Xiaodong Liu, Haochi Yang, Tianyu Gao*, Jingli Yang. 2023.10. (SCI, IF=2.3). [4] An incipient fault diagnosis method based on complex convolutional self-attention autoencoder for analog circuits. IEEE Transactions on Industrial Electronics. Tianyu Gao, Jingli Yang*, Shouda Jiang, Ye Li. 2023.08. (SCI, IF=7.7). [5] A multi-sensor fault diagnosis method for rotating machinery based on improved fuzzy support fusion and self-normalized spatio-temporal network. Measurement Science and Technology. Jingli Yang, Tianyu Gao*, Huiyuan Zhang, Yunlu Li. 2023.08. (SCI, IF=2.4). [6] A fault location method based on ensemble complex spatio-temporal attention network for complex systems under fluctuating operating conditions. Applied Soft Computing Journal. Jingli Yang, Tianyu Gao*, Ge Yan, Cheng Yang, Gangqiang Li. 2023.05. (SCI, IF=8.7). [7] An incipient fault diagnosis method based on Att-GCN for analogue circuits. Measurement Science and Technology. Jingli Yang*, Ye Li, Tianyu Gao. 2022.12. (SCI, IF=2.4). [6] Energy-based adversarial transfer network for cross-domain fault diagnosis of electro-mechanical Systems. IEEE Transactions on Instrumentation and Measurement. Jingli Yang*, Tianyu Gao, Shouda Jiang. 2022.10. (SCI, IF=5.6). [8] A novel fault detection model based on vector quantization sparse autoencoder for nonlinear complex systems. IEEE Transactions on Industrial Informatics. Tianyu Gao, Jingli Yang*, Shouda Jiang. 2022.05. (SCI, IF=12.3). [9] A dual-input fault diagnosis model based on SE-MSCNN for analog circuits. Applied Intelligence. Jingli Yang*, Tianyu Gao, Shouda Jiang. 2022.04. (SCI, IF=5.3). [10] A novel convolutional neural network with interference suppression for the fault diagnosis of mechanical rotating components. Neural Computing and Applications. Jingli Yang*, Shuangyan Yin, Tianyu Gao. 2022.02. (SCI, IF=6.0). [11] An efficient method for imbalanced fault diagnosis of rotating machinery. Measurement Science and Technology. Jingli Yang*, Shuangyan Yin, Tianyu Gao. 2021.11. (SCI, IF=2.4). [12] A novel fault diagnosis method for analog circuits with noise immunity and generalization ability. Neural Computing and Applications. Tianyu Gao, Jingli Yang*, Shouda Jiang. 2021.08. (SCI, IF=6.0). [13] A novel incipient fault diagnosis method for analog circuits based on GMKL-SVM and wavelet fusion features. IEEE Transactions on Instrumentation and Measurement. Tianyu Gao, Jingli Yang*, Shouda Jiang. 2021.08. (SCI, IF=5.6). [14] An efficient method for monitoring degradation and predicting the remaining useful life of mechanical rotating components.IEEE Transactions on Instrumentation and Measurement. Jingli Yang*, Shuangyan Yin, Yongqi Chang, Tianyu Gao, Cheng Yang. 2021.07. (SCI, IF=5.6). [15] Fault Diagnosis of Rotating Machinery Based on One-Dimensional Deep Residual Shrinkage Network with a Wide Convolution Layer.Shock and Vibration. Jingli Yang*, Tianyu Gao, Shouda Jiang, Shijie Li, Qing Tang. 2020.12. (SCI, IF=1.6). [16] A Novel Fault Diagnosis Method for Analog Circuits Based on Conditional Variational Neural Networks.Circuits, Systems and Signal Processing. Tianyu Gao, Jingli Yang*, Shouda Jiang, Ge Yan. 2020.10. (SCI, IF=2.3). [17] A Novel Fault Diagnostic Method for Analog Circuits Using Frequency Response Features.Review of Scientific Instruments. Tianyu Gao, Jingli Yang*, Shouda Jiang. 2019.10. (SCI, IF=1.6). 会议论文 名称 [1] Fault diagnosis method of rotating machinery based on multi-sensor information decision-level fusion. 2023 IEEE Global Reliability and Prognostics and Health Management Conference. Jingli Yang, Yuxiang Huang, Huiyuan Zhang and Tianyu Gao. 2023.10. [2] Fault diagnosis method for rotating machinery based on attention adversarial transfer networks under variable operating conditions . 2023 IEEE Global Reliability and Prognostics and Health Management Conference. Tianyu Gao, Cheng Yang and Jingli Yang. 2023.10. [3] An incipient fault diagnosis method based on spatio-temporal center network for analog circuits. 2022 IEEE Global Reliability and Prognostics and Health Management Conference. Tianyu Gao, Ye Li, Xue Bai, Jingli Yang. 2022.10. [4] Fault diagnosis method of analog circuit based on enhanced boundary equilibrium generative adversarial networks. 2021 IEEE Global Reliability and Prognostics and Health Management Conference. Jingli Yang, Yue Li, Cheng Yang, Tianyu Gao. 2021.10. [5] A novel fault detection method based on multiple features for analog circuits. 2021 IEEE Global Reliability and Prognostics and Health Management Conference. Tianyu Gao, Jingli Yang, Jianfeng Wang, Shouda Jiang. 2021.10. [6] A dual-input fault diagnosis model based on convolutional neural networks and gated recurrent unit networks for analog circuits. 2021 IEEE International Instrumentation and Measurement Technology Conference. Tianyu Gao, Jingli Yang, Shouda Jiang. 2021.05. [7] A Novel Fault Diagnosis Method for Planetary Gearboxes under Imbalanced Data. 2020 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence. Tianyu Gao, Jingli Yang, Shouda Jiang. 2020.10. 团队成员 名称 团队负责人： 姜守达，教 授/博导，http://homepage.hit.edu.cn/jiangshouda 林连雷，教 授/博导，http://homepage.hit.edu.cn/linlianlei 杨京礼，教 授/博导，http://homepage.hit.edu.cn/yangjingli 刘晓东，副教授/硕导，http://homepage.hit.edu.cn/liuxiaodong 孙 超，副教授/博导，http://homepage.hit.edu.cn/sunchao 魏长安，副教授/博导，http://homepage.hit.edu.cn/weichangan 许永辉，副教授/硕导，http://homepage.hit.edu.cn/xuyonghui 孙 震，副教授/硕导 高天宇，助理教授/硕导 协助指导学生（在读） 名称 博士生 尹双艳：基于零样本学习的旋转机械复合故障诊断方法 王厂东：面向弱数据集场景的旋转机械智能故障诊断方法 硕士生 李 晔：面向零/少样本场景的轴承跨工况故障检测方法 李昀潞：船舶动力系统齿轮箱体腐蚀检测技术研究 杨浩池：基于测试方案优化的模拟电路多故障诊断方法研究 协助指导学生（已毕业） 名称 硕士生 2021年-2023年 张慧圆：基于深度学习与多源信息融合的旋转机械智能诊断方法 2020年-2022年 崔成竹, 喷水推进装置闭环控制系统故障检测与定位技术研究 2019年-2021年 尹双艳, 非理想数据条件下机械旋转部件故障诊断方法研究（校优秀论文） 李 越, 船用动力装置控制系统模拟板故障诊断系统研制 2017年-2019年 张天瀛, DDS-RPC通信机制研究及在联合试验平台中的应用