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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. .