主要学术论文 ———————————————————————————— [1] Gang Hu; Zihan Xia; Wuliang Yin; Ruochen Huang; Jialong Shen; Shiyu Liu; Ronghua Zhang*，Estimation of thickness and radius of hollow metallic spheres with a simplified forward model， IEEE Sensors Journal，2023，Early Access. (SCI 2区，TOP) [2] Ronghua Zhang; Hongying Fang; Qiong Zhang; Junyu Wang; Danqi Zhang; Junhua Cheng; Wuliang Yin ; In-situ damage monitoring of CFRPs by electromagnetic tomography with the compatible multitemplate supervised descent method, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-12 (SCI 2区) [3] Hanyu Zhang; Qi Wang; Ronghua Zhang*; Xiuyan Li; Xiaojie Duan; Yukuan Sun; Jianming Wang; Jiabin Jia ; Image Reconstruction for Electrical Impedance Tomography (EIT) with Improved Wasserstein Generative Adversarial Network (WGAN), IEEE Sensors Journal, 2023, 23(5): 1- 10 (SCI 2区，TOP) [4] Ronghua Zhang; Junyu Wang; Shiyu Liu; Ming Ma; Hongying Fang; Junhua Cheng; Danqi Zhang ; Non-Destructive Testing of Carbon Fibre Reinforced Plastics (CFRP) Using a Dual Transmitter Receiver Differential Eddy Current Test Probe, Sensors, 2022, 22(18): 6761 (SCI 3区) [5] 张荣华; 史可宇; 李硕; 张一帆 ; 平纹编织碳纤维增强树脂复合材料离散电导率建模方法, 复合材料学报, 2020, 37(12): 3119-3127 (EI，中文卓越期刊) [6] 王琦; 张静薇; 张荣华*; 薛峰军; 李秀艳 ; 基于贝叶斯统计模型的金属缺陷电磁成像方法研究, 仪器仪表学报, 2020, 41(1): 47-55 (EI，中文卓越期刊) [7] Zhang RH*, Ye S. Study on defect type in eddy-current testing based on phasespectrum analysis[J]. The Journal of Engineering, 2019 , 2019(23)：8972-8974.
[8] Wang Q, Zhang RH, Wang JM*, Jiao YN, Yang XH, Ma M. An Efficient Methodfor Geometric Modeling of 3D Braided Composites[J]. Journal of Engineered Fibersand Fabrics, 2016 , 11(4)：76-87. [9] Zhang RH, Song GH, Ye S. An identification φ (ω ) model applied to defectdetection during multi-frequency ECT[C]. XXII World Congress of the InternationalMeasurement Confederation (IMEKO 2018).
[10] Li S, Zhang RH, She KY, Zhao Q, Yin WL. Research on Block Modeling andElectromagnetic Nondestructive Testing Method for Plain Weave CFRP[C]. IEEEInternational Instrumentation and Measurement technology Conference (IEEE I2MTC)2020. [11] Zhang RH, Song GH, Zhao Q, Yin WL. Reducing the lift-off effect on defectdetection using eddy current method[C]. IEEE International Instrumentation andMeasurement technology Conference (IEEE I2MTC) 2020. [12] Zhao Q*, Zhang K, Zhu S, Xu HY, Cao DG, Zhao LN, Zhang RH, Yin WL.Review on the Electrical Resistance/Conductivity of Carbon Fiber ReinforcedPolymer[J]. Applied Sciences-Basel, 2019-6-1 , 9(11)：0-2390. [13]Wang Q, Zhang PC, Wang JM*, Chen QL, Lian ZJ, Li XY, Sun YK, Duan XJ, CuiZQ, Sun BY, Wang HX. Patch-based sparse reconstruction for electrical impedancetomography[J]. Sensor Review, 2017 , 37(3)：257-269. [14]王琦, 崔莉莎, 汪剑鸣*, 孙玉宽, 王化祥. 基于电磁层析成像的金属缺陷稀疏成像方法[J]. 仪器仪表学报, 2017 , (09)：2291-2298. [15]Wang Q, Lian ZJ, Wang JM*, Chen QL, Sun YK, Li XY, Duan XJ, Cui ZQ, Wang
HX. Accelerated reconstruction of electrical impedance tomography images via patchbased sparse representation[J]. Review of Scientific Instruments, 2016-11 , 87(11)：0-114707. [16]Wang Q, He J, Wang JM*, Li XY, Duan XJ, Zhang PC, Chen XJ, Sun YK, Animage reconstruction algorithm for electrical impedance tomography usingSymkaczmarz based on structured sparse representation[J]. Transactions of theInstitute of Measurement and Control, 2019, 41(10)：2803-2815. [17]Li XY, Zhou Y, Wang JM*, Wang Q, Lu Y, Duan XJ, Sun YK, Zhang JW, LiuZY. A novel deep neural network method for electrical impedance tomography[J].Transactions of the Institute of Measurement and Control, 2019-10 , 41(14)：4035-4049.
[18]张荣华，叶松，已授权，2018.05.17，一种基于多频涡流检测技术的缺陷识分类方法，中国专利，CN201818473907.8 [19]张荣华, 高鹏程，叶松，申请，2019.07.10，一种多频激励涡流场相位梯度谱无损检测方法及系统，中国专利, CN20191086791.4
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