姜琳
Scientific Research
Research Field
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Paper Publications
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[1] Lin Jiang, Huaguang Zhang, and et al. A Multisensor Cycle-Supervised Convolutional Neural Network forAnomaly Detection on Magnetic Flux Leakage Signals [J]. IEEE Transactions on Industrial Informatics, 2022, 18(11):7619-7627. .
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[2]Lin Jiang, Huaguang Zhang, and et al. A Physics-guided MFL Deformed Defect Recovery Method [J]. IEEE Transactions on Automation Science and Engineering, 2023, doi: 10.1109/TASE.2023.3260281. .
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[3] Huaguang Zhang, Lin Jiang, and et al. Data Recovery of Magnetic Flux Leakage Data Gaps Using Multifeature Conditional Risk [J]. IEEE Transactions on Automation Science and Engineering, 2021, 18(3): 1064-1073..
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[4] Lin Jiang, Huaguang Zhang, and et al. Pipeline Irregular Defect Inversion for Magnetic Flux Leakage Detection System based on Heterogeneous Multi-Class Feature Fusion [J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-9, Art no. 2509409. .
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[5] Lin Jiang, Huaguang Zhang, and et al. Mutual Supervision of MFL Heterogeneous Signals for Insufficient Sample Defect Detection on Pipeline Safety Operation [J]. IEEE Transactions on Automation Science and Engineering， 2024..
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[6] Lin Jiang, Huaguang Zhang, and et al. THMS-Net: A Two-Stage Heterogeneous Signals Mutual Supervision Network for MFL Weak Defect Detection [J]. IEEE Transactions on Instrumentation and Measurement, 2021, 71: 1-9, Art no. 3520209..
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[7] Lin Jiang, Jinhai Liu, and et al. Anomaly detection of industrial multi-sensor signals based on enhanced spatiotemporal features [J]. Neural Computing and Applications, 2022, 34(11): 8465-8477..
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[8] Lin Jiang, Jinhai Liu, and et al. Anomaly MFL Signal Recovery based on Denoising Sparse Autoencoder [C]. 2021 33rd Chinese Control and Decision Conference (CCDC), 2021: 1956-1960. .
Patents
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国家自然科学基金重大科研仪器研制项目子课题：“基于多维度智能协同的海洋油气管道安全状态甄辨仪器研制”，52527810，2026.1-2030.12，110.70万元（总经费742.70万元），主持。
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中国科协青年托举人才工程项目，2025.1-2027.12，30万，主持。
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国家自然科学基金青年基金：“基于场景交融的开放世界下油气管道缺陷轮廓智能反演方法”，62403112，2025.1-2027.12，30万，主持
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国家资助博士后研究人员计划：“复杂工况下油气管道缺陷智能识别方法”, GZB20240128，2025.1-2026.12，36万，主持。
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博士后特别资助项目，18万，主持
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教育部中央高校基本科研业务费：“新场景下油气管道缺陷智能量化方法研究”, N2404025，2024.1-2025.12，10万，主持。
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辽宁省科技厅自然科学基金-博士启动基金项目：“基于多元协同演化的未知运行场景下油气管道缺陷尺寸反演方法研究”，5万，主持。
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东北大学博士后基金，2024.1-2024.12, 3万，主持。