| Similarity-measured isolation forest: anomaly detection method for machine monitoring data C Li, L Guo, H Gao, Y Li IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 60 | 2021 |
| Machine vision based adaptive online condition monitoring for milling cutter under spindle rotation Z You, H Gao, L Guo, Y Liu, J Li, C Li Mechanical Systems and Signal Processing 171, 108904, 2022 | 29 | 2022 |
| A new time–space attention mechanism driven multi-feature fusion method for tool wear monitoring T Feng, L Guo, H Gao, T Chen, Y Yu, C Li The International Journal of Advanced Manufacturing Technology 120 (7), 5633 …, 2022 | 22 | 2022 |
| Study on milling tool wear morphology and mechanism during machining superalloy GH4169 with PVD-TiAlN coated carbide tool J Liang, H Gao, D Li, Y Lei, S Li, L Guo, L Chen, Z Leng, Y Sun, C Li Tribology International 182, 108298, 2023 | 21 | 2023 |
| A signal segmentation method for CFRP/CFRP stacks drilling-countersinking monitoring C Li, L Guo, Y Lei, H Gao, E Zio Mechanical Systems and Signal Processing 196, 110332, 2023 | 5 | 2023 |
| Vision-based defect measurement of drilled CFRP composites using double-light imaging C Li, Y Lei, Z You, L Guo, E Zio, H Gao IEEE Transactions on Instrumentation and Measurement, 2023 | 4 | 2023 |
| A novel evaluation metric based on dispersion of wear distance for in situ tool condition monitoring Z You, S Li, C Li, H Gao, L Guo, Y Liu IEEE Transactions on Instrumentation and Measurement 72, 1-10, 2022 | 3 | 2022 |
| A Transfer Learning Based Method for Incipient Fault Detection C Li, L Guo, H Gao, J Yang, X Dong, Z You 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems …, 2021 | 3 | 2021 |
| Research on Quantitative Monitoring Method of Milling Tool Wear Condition Based on Multi-Source Data Feature Learning and Extraction Y Lei, C Li, H Gao, L Guo, J Liang, J He 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai), 1-6, 2022 | 2 | 2022 |
| An improved UNet model based on adaptive activation function and squeeze-and-excitation module for milling tool wear segmentation C Cai, Z You, C Li, Y Sun, S Li, H Gao 2023 Prognostics and Health Management Conference (PHM), 272-277, 2023 | 1 | 2023 |
| Online quantitative monitoring of milling cutter health condition based on deep convolutional autoencoder Y Lei, C Li, L Guo, H Gao, J Liang, Y Sun, J He The International Journal of Advanced Manufacturing Technology 125 (9), 4739 …, 2023 | 1 | 2023 |
| Multimodal Boiling Dataset with Synchronized Acoustic, Optical, and Thermal Measurements Under Steady-State and Transient Heat Loads H Pandey, C Li, H Hu Data in Brief, 110582, 2024 | | 2024 |
| Acoustic Characterization of Integrated Circuits During Operation J Frankhouse, C Li, H Hu Journal of Electronic Packaging, 1-25, 2024 | | 2024 |
| GMM-BinSeg: A Data Segmentation Method for CFRP/Aluminum Stacks Drilling-Countersinking Monitoring Signal C Li, Y Lei, L Guo, E Zio, H Gao, B Yang IEEE Transactions on Instrumentation and Measurement, 2024 | | 2024 |
