Page 27 - 2022'中国无损检测年度报告
P. 27
⚥㕂偽䰀唬崵䎃䏞䫣デ ⚥㕂偽䰀唬崵䎃䏞䫣デ
2022
20222 ࠛ௨ចय़ˮڥQGWખ˘ᛸˡԾࡰᤠቅ ࠛ௨ចय़ˮڥQGWખ˘ᛸˡԾࡰᤠቅ 2 2
2
IEEE Transactions on Instrumentation Liu, et.al. Defect size quantification for
and M easur ement. DOI: 10 . 1109 / pipeline magnetic flux leakage detection
TIM.2022.3212041. system via multi-level knowledge-guided
[4] Xiaoyuan Liu, Jinhai Liu, Zi Wang, neural network[J]. IEEE Transactions on
et al. Basic-class and cross-class hybrid Industrial Electronics, 2022. DOI: 10.1109/
feature learning for class-imbalanced weld TIE.2022.3210557.
defect recognition[J]. IEEE Transactions [12] Huaguang Zhang, Lei Wang,
on Industrial Informatics. DOI: 10.1109/ Jianfeng Wang, Fengyuan Zuo, Jifeng
TII.2022.3228702. Wang, Jinhai Liu. A pipeline defect
[5] Xiangkai Shen, Jinhai Liu, Jiayue Sun, inversion method with erratic mfl signals
et.al. SSCT-Net: a semi supervised circular based on cascading abstract features[J].
teacher network for defect detection with IEEE Transactions on Instrumentation and
limited labeled multiview MFL samples[J]. Measurement, 2022, 71:1-11no. 3506711.
IEEE Transactions on Industrial Informatics. [13] Xiao Qi, Feng Jian, et al. Receiver
DOI: 10.1109/TII.2022.3232764. signal analysis on geometry and excitation
[6] Yifu Ren, Jinhai Liu, Huaguang parameters of remote field eddy current
Zhang, et. al. TDDA-Net: a transitive distant probe[J]. IEEE Transactions on Industrial
domain adaptation network for industrial Electronics, 2022.
sample enhancement[J]. Information [14] Feng Jian, Xiao Qi, et al. A double
Sciences, 606: 927-944. remote magnetic field synthesis method
[7] Jinhai Liu, Liu Xiaoyuan, et.al. A for reducing high-speed MFL signal
defect recognition method for low-quality distortion caused by velocity effect[J]. IEEE
weld image based on consistent multi- Transactions on Industrial Electronics, 2023.
scale feature mapping[J]. IEEE Transactions [15] Song Huadong, Xiao Qi, et al. A
on Instrumentation and Measurement, composite approach of electromagnetic
2022,71(4):1-11. acoustic transducer and eddy current
[8] Yifu Ren, Jinhai Liu, Chen Yingjiao, for inner and outer corrosion defects
et al. LJDA-Net: A Low-Rank Joint Domain detection[J]. IEEE Transactions on
Adaptation Network for Industrial Sample Instrumentation and Measurement, 2023, 72:
Enhancement[J]. IEEE Sensors Journal, 1-11.
22(12):11881-11891. [16] Xiao Qi., Feng Jian, et al. Accurate
[9] Yifu Ren, Jinhai Liu, Jianfeng Wang, identification for 3-D position of hybrid
et al. TBDA-Net: A task-based bias domain defects in ferromagnetic pipe using external
adaptation network under industrial small remote field eddy current testing[J]. IEEE
samples[J]. IEEE Transactions on Industrial Transactions on Magnetics, 2022,58(3):1-10.
Informatics. DOI: 10.1109/TII.2022.3141771. [17] Wang Gang, Xiao Qi, et al. Multi-
[10] Lin Jiang, Jinhai Liu, Hang Xu, frequency AC magnetic flux leakage testing
Xiangkai Shen, et.al. Anomaly detection of for the detection of surface and backside
industrial multi-sensor signals based on defects in thick steel plates[J]. IEEE
enhanced-spatiotemporal features[J]. Neural Magnetics Letters, 2022, 13:1-5.
Computing and Applications,2022. [18] Feng Jian, Li Qiangxin, Xiao Qi, et
[11] Lei Wang, Huaguang Zhang, Jinhai al. A method of Rayleigh wave combined
19

