楊京禮，工學博士，教授，博士生導師。電子與信息工程學院，信息與通信工程學科。
基本介紹
- 中文名：楊京禮
- 國籍：中國
- 民族：漢族
- 學位/學歷：博士
- 職業：教師
- 任職院校：哈爾濱工業大學
個人經歷,社會兼職,主講課程,研究方向,學術成果,榮譽獎項,
個人經歷
工作經歷
2022.12-至今 哈爾濱工業大學，電子與信息工程學院，教授，博士生導師
2020.07-2022.12 哈爾濱工業大學，電子與信息工程學院，副研究員，博士生導師
2018.01-2020.06 哈爾濱工業大學，電子與信息工程學院，副研究員，碩士生導師
2016.01-2017.01 McGill University，Department of Electrical & Computer Engineering, Visiting Scholar
2013.07-2017.12 哈爾濱工業大學，助理研究員，碩士生導師
教育經歷
2008.09-2013.07 哈爾濱工業大學，儀器科學與技術學科 工學博士
2006.09-2008.07 哈爾濱工業大學，儀器科學與技術學科 工學碩士
2002.09-2006.07 哈爾濱工業大學，測控技術與儀器專業 工學學士
社會兼職
IEEE Member;
中船集團質量與可靠性領域 特聘專家;
黑龍江省儀器儀表學會 理事;
黑龍江試驗與測試技術學會 理事;
國家自然科學基金 通訊評議人;
教育部學位中心 評審專家;
Information Fusion
IEEE Transactions on Industrial Informatics,
IEEE Transactions on Instrumentation and Measurement,
Knowledge-Based Systems,
Advanced Engineering Informatics,
Measurement,
Measurement Science and Technology,
Infrared Physics and Technology,
計算機學報、儀器儀表學報、自動化學報等國內外期刊審稿人
主講課程
- 高級語言程式設計Python（本科生必修課，32學時）
- 分散式系統實時數據分發技術（本科生創新研修課，16學時）
- 聯合試驗技術（研究生選修課，24學時）
研究方向
- 高端裝備智慧型運維：裝備狀態智慧型感知、缺陷影響智慧型評估、維護策略智慧型生成、裝備能力智慧型最佳化。相關方向：人工智慧驅動的故障診斷、智慧型診斷中的可解釋性理論、深度學習的表示與泛化理論
- 裝備可信測試評估：複雜系統行為建模、測試用例動態生成、分散式系統信息互動。相關方向：模型驅動的測試與評估框架、測試樣本智慧型最佳化、大規模分散式系統實時信息傳輸
學術成果
先後主持國家級基礎科研計畫、國家級技術基礎科研、國家重大工程項目子專題、國家自然科學基金面上項目、國家自然科學基金青年基金等30餘項課題。發表學術論文70餘篇，其中：SCI收錄30餘篇、EI收錄30餘篇。申請專利70餘項，其中：已授權40餘項。獲省部級科技進步二等獎4項。
出版專著
[1] 分散式實時系統數據分發服務. 楊京禮, 林連雷, 王建峰, 魏長安. 電子工業出版社. 2021.01
[2] Modeling technology of atmospheric environment for virtual test. Lianlei Lin, Jingli Yang, Chang'an Wei. Ubiquitous Information CO.LTD. 2017.05
期刊論文(近3年)
[1] 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=2.398).
[2] A novel Brownian correlation metric prototypical network for rotating machinery fault diagnosis with few and zero shot learners. Advanced Engineering Informatics. Jingli Yang*,Changdong Wang, Chang'an Wei. 2022.11. (SCI, IF=7.862).
[3] 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=5.332).
[4] 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=11.648).
[5] 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=5.019).
[6] 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=5.102).
[7] An efficient method for imbalanced fault diagnosis of rotating machinery. Measurement Science and Technology. Jingli Yang*, Shuangyan Yin, Tianyu Gao. 2021.11. (SCI, IF=2.398).
[8] 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=5.102).
[9] 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=5.332).
[10] 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=5.332).
會議論文(近3年)
[1] 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.
[2] 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.
[3] 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.
[4] A fault diagnosis method for mechanical rotating components based on automatic learning of pseudo labels. 2021 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence. Shuangyan Yin, Jingli Yang, Cheng Yang. 2021.10.
[5] 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.
榮譽獎項
2022年，獲省部級科技進步二等獎1項
2021年，獲省部級科技進步二等獎1項
2019年，獲省部級科技進步二等獎1項
2014年，獲省部級科技進步二等獎1項
