付松 - 哈尔滨工业大学 - 机电工程学院

个人简介

付松，1991年生，机电工程学院助理教授/讲师，主要从事复杂装备智能性能监控方面研究工作，主持国家自然科学基金青年项目、国家重点研发计划子课题、国家博士后面上基金项目、省博士后面上基金项目、省优秀博士论文重点资助项目等项目，发表SCI论文12篇，其中第一/通讯作者6篇，中科院一区Top期刊5篇，IEEE Trans 1篇，高被引论文（全球前1%）1篇，单篇论文（非综述）最高被引190余次。奖项荣誉新时代龙江优秀博士学位论文（2023年）《计算机集成制造系统》期刊优秀论文（2021年) 哈尔滨工业大学博士研究生国家奖学金（2021年）哈尔滨工业大学硕士研究生国家奖学金（2017年) 哈尔滨工业大学优秀毕业生（2022年) 教育经历 2011.09-2015.06 武汉科技大学机械工程及其自动化本科 2016.09-2018.06 哈尔滨工业大学机械工程硕士 2018.09-2022.06 哈尔滨工业大学机械工程博士工作经历 2022.07-至今哈工大机电工程学院助理教授

研究领域

航空发动机运行机理分析及数据驱动的航空发动机智能健康管理制造业信息化、工业知识图谱构建与大数据挖掘

近期论文

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Journal paper Fu S, Zhong S, Lin L, et al. A novel time-series memory auto-encoder with sequentially updated reconstructions for remaining useful life prediction[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 33(12): 7114-7125. (中科院大类1区，Top期刊，IF=10.4) Zhong S, Fu S, Lin L. A novel gas turbine fault diagnosis method based on transfer learning with CNN[J]. Measurement, 2019, 137: 435-453. (JCR1区，IF=5.6，ESI高被引论文) Fu S*, Lin L, Wang Y, et al. MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction[J]. Reliability Engineering & System Safety, 2024, 241: 109696. (中科院大类1区，Top期刊，IF=8.1) Fu S, Zhang Y, Lin L, et al. Deep residual LSTM with domain-invariance for remaining useful life prediction across domains[J]. Reliability Engineering & System Safety, 2021, 216: 108012. (中科院大类1区，Top期刊，IF=8.1) Fu S, Zhong S, Lin L, et al. A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection[J]. Engineering Applications of Artificial Intelligence, 2021, 101: 104199. （中科院小类1区，Top期刊，IF=8.0） Lin L, He W, Fu S*, et al. Novel aeroengine fault diagnosis method based on feature amplification[J]. Engineering Applications of Artificial Intelligence, 2023, 122: 106093. （中科院小类1区，Top期刊，IF=8.0） Zu L, Lin L, Liu J, Song F, et al. SRSCL: A strong-relatedness-sequence-based fine-grained collective entity linking method for heterogeneous information networks[J]. Expert Systems with Applications, 2024, 238: 121759. （中科院大类1区，Top期刊，IF=8.5） Xia X, Fu X, Zhong S, Song F, et al. A multi-agent convolution deep reinforcement learning network for aeroengine fleet maintenance strategy optimization[J]. Journal of Manufacturing Systems, 2023, 68: 410-425. (中科院大类1区，Top期刊，IF=12.1） Lin L, He W, Guo F, Song F, et al. A novel method for aeroengine performance model reconstruction based on CDAE model[J]. Advanced Engineering Informatics, 2023, 56: 101909. （中科院大类1区，Top期刊，IF=8.8） Lin L, Zu L, Guo F, Song F, et al. Using combinatorial optimization to solve entity alignment: An efficient unsupervised model[J]. Neurocomputing, 2023, 558: 126802. (中科院二区，Top期刊，IF=6.0) Lin L, Tong C, Guo F, et al. A Self-Attention Integrated Learning Model for Landing Gear Performance Prediction[J]. Sensors, 2023, 23(13): 6219. (中科院三区， IF=3.9) 中文论文与会议论文付松,钟诗胜,林琳,et al. 基于迁移学习的民航发动机小样本故障诊断[J].计算机集成制造系统, 2021,27(12):12.DOI:10.13196/j.cims.2021.12.007. (EI源刊, CCF推荐，知网高被引, 优秀论文) Zhong S, Fu S, Lin L, et al. A novel unsupervised anomaly detection for gas turbine using isolation forest[C]//2019 IEEE International Conference on Prognostics and Health Management (ICPHM). IEEE, 2019: 1-6. (EI 会议) Fu X, Xia X, Zhong S, Song F, et al. A Novel Label Correction Method for Remaining Useful Life Prediction of Turbofan Engines[C]//2021 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC). IEEE, 2021: 74-80.(EI 会议) ZHONG S S, Fu S, FU X Y. Application of Deep Learning in Comprehensive Performance Evaluation of Aero Engines[C]//2017 2nd International Conference on Artificial Intelligence. Techniques and Applications (AITA 2017). 2017.(EI 会议) Journal Preprints Song F*, Lin L, et al. High Imbalance Fault Diagnosis of Aviation Hydraulic Pump Based on Data Augmentation via Local Wavelet Similarity Fusion, Mechanical Systems and Signal Processing. (中科院大类1区，Top期刊，IF=8.4, Under Revision) Song F*, Lin L, et al. CLIME: Conditional Local Intrinsic Modes Expansion for Data Augmentation and Its Application in Highly Imbalanced Fault Diagnosis of Mechanical System, Journal of Intelligent Manufacturing. (中科院大类1区，Top期刊，IF=8.3, Under Revision) Song F*, Lin L, et al. Multiscale Dynamically Parallel Shrinkage Network for Fault Diagnosis of Aviation Hydraulic Pumps. ISA TRANSACTIONS. (中科院大类2区，Top期刊，IF=7.3, Under Revision) Lin L, Jinlei W*, Song F*, et al. CATA-TCN: A Novel Framework for Remaining Useful Life Prediction of the Aircraft Engines, Advanced Engineering Informatics. (中科院大类1区, Top期刊，IF=8.8, Under Revision) Wenhui H, Lin L*, Song F*, et al. Differential Contrast Guidance for aeroengine fault diagnosis with Limited Data, Journal of Intelligent Manufacturing. (中科院大类1区，Top期刊，IF=8.3, Under Revision) Lin L*, Wenhui H, Song F*, et al. A novel method based on contrastive meta-learning for aeroengine fault diagnosis with limited data, Reliability Engineering & System Safety. (中科院大类1区，Top期刊，IF=8.1, Under Revision) Lin L, Chang sheng T*, Song F*, et al. A Prediction of Crack Propagation on Aircraft Wing via AK-TCN, IEEE Transactions on Instrumentation and Measurement (JCR1区, IF=5.6, Under Revision) Lin L, Wenhui H*, Song F*, et al. A progressive reconstruction modeling method for aeroengine performance space based on sequence correlation, Measurement. (JCR1区, IF=5.6, Under Revision) Yikun L, Song F*, Lin L*, et al. DECVAE: Data augmentation via conditional variational auto-encoder with distribution enhancement for few-shot fault diagnosis of mechanical system, Measurement science and technology. (中科院三区, IF=3.4, Under Revision)