姜琳
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博士生导师
硕士生导师
- 教师拼音名称：jianglin
- 入职时间：2023-12-04
- 所在单位：信息科学与工程学院
- 学历：博士研究生毕业
- 性别：女
- 学位：博士
- 毕业院校：东北大学
访问量：
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[1][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][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][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][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][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][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][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][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. .
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[9][9] Lin Jiang, Jinhai Liu, and et al. MFL Data Feature Extraction based on KPCA-BOMW Model [C]. 2019 31st Chinese Control And Decision Conference (CCDC), 2019: 1019-1023..
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[10][10] Lin Jiang, Jinhai Liu, and et al. Discrimination and compensation of abnormal values of magnetic flux leakage in oil pipeline based on BP neural network [C]. 2017 29th Chinese Control And Decision Conference (CCDC), 2017: 3714-3718. .