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[2] 李兵, 魏翔, 陈磊等. 复杂回转轴多特征跨尺度自动化检测系统. 2024年度陕西高等学校科学技术研究优秀成果一等奖.

[3] 李兵, 程凯, 孙彬, 侯颖, 李应飞, 陈磊等. 一种工业机器人关节减速器偏心轴轴径测量装置及方法. 2021年度陕西省专利一等奖.

[1] Zhenlong Zhang, Yifan Zhang, Fei Gao, Xingcheng Du, Lei Chen*, Bing Li. High-resolution 3-D characterization and detection of subsurface defects in metal additive manufacturing using laser ultrasonic[J]. Ultrasonics, 2026, 157: 107797.

[2] Zhenlong Zhang, Xingcheng Du, Fei Gao, Lei Chen*, Bing Li. An improved u-net method for denoising ultrasonic echo signals in carbon fiber composites[J]. Ultrasonics, 2026, 157: 107782.

[3] Zhenlong Zhang, Bing Li, Dongyang Guo, Feng Qin, Lei Chen*. Thickness inversion of thin additive manufacturing Ti-6Al-4 V based on dispersion curve variation with laser-induced ultrasonic[J]. Ultrasonics, 2025, 151: 107629.

[4] Pengfei Li, Bing Li, Ziming Ren, Yanlong Zheng, Lei Chen, Xueyong Wei. An air-electronic converter with MEMS quartz resonator and bi-chamber structure for air gauging sensor[J]. Ieee Transactions on Instrumentation and Measurement, 2025, 74: 7507613.

[5] Zhenlong Zhang, Bing Li, Yu Huang, Feng Qin, Lei Chen*. Surface roughness characterization of additive manufactured Ti-6Al-4V based on laser ultrasonic signal[J]. Optics and Laser Technology, 2024, 177: 111070.

[6] Feng Qin, Bing Li, Lei Chen*, et al. Photoacoustic interaction mechanism with surface defects in freeform surface materials[J]. Applied Acoustics, 2024, 217: 109834.

[7] Lei Zhang, Bing Li, Lei Chen*, et al. Detail-preserving multi-exposure fusion for DR images of turbine blades with local contrast analysis and exposure intensity[J]. Journal of Nondestructive Evaluation, 2023, 42 (4): 98.

[8] Feng Qin, Bing Li, Lei Chen*, et al. Influence mechanism of gas turbine blade thickness on photoacoustic signals to guide defect imaging detection[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 9601012.

[9] Lei Zhang, Bing Li, Lei Chen*, et al. Classification of internal defects for gas turbine blades based on the discrimination of linear attenuation coefficient. Insight, 2023, 65 (6): 335-340.

[10] Lei Zhang, Bing Li, Lei Chen*, et al. Enhancement of digital radiographic images for gas turbine blades based on simple scattering model[J]. Journal of Nondestructive Evaluation, 2023, 42 (2): 33.

[11] Zhongyu Shang, Bing Li, Lei Chen*, et al. Defects prediction method for radiographic images based on random PSO using regional fluctuation sensitivity[J]. Sensors, 2023, 23 (12): 5679.

[12] Feng Qin, Bing Li, Lei Chen, et al. Interaction analysis of different defects with laser ultrasonic sound waves and defect characterization[J]. Optics and Laser Technology, 2023, 157: 108630.

[13] Yu Huang, Bing Li, Lei Chen*, et al. Influence of top-coat thickness of thermal barrier coating on time-frequency domain and dispersion characteristics of laser-induced surface acoustic wave[J]. Applied Acoustics, 2023, 203: 109230.

[14] Lei Chen, Bing Li, Lei Zhang, et al. 3D positioning of defects for gas turbine blades based on digital radiographic projective imaging[J]. NDT & E International, 2023, 133: 102751.

[15] Zhenlong Zhang, Bing Li, Lei Chen, et al. Measurement of elastic constants of additive manufactured Ti-6Al-4V by non-contact multi-mode laser ultrasonic system[J]. Journal of Materials Engineering and Performance, 2022, 31 (9): 7328-7336.

[16] Zhongyu Shang, Bing Li, Lei Chen*, et al. Adaptive segmentation method in radiographic testing for turbine blades based on spatial entropy[J]. Review of Scientific Instruments, 2022, 93(11): 113312.

[17] Lei Chen, Bing Li, Hao Zhou, et al. Detection of three-dimensional parameter of defects for gas turbine blades based on two-dimensional digital radiographic projective imaging[J]. Journal of Nondestructive Evaluation, 2019, 38 (4): 9.

[18] Lei Chen, Bing Li, Zhuangde Jiang. Inspection of assembly error with effect on throat and incidence for turbine blades[J]. Journal of Manufacturing Systems, 2017, 43: 366-374.

[19] Bing Li, Lei Chen*, Yuegen Wang, et al. 3D detection of internal defects for gas turbine blades[J]. Insight, 2017, 59 (7): 364-370.

[20] Feng Qin, Bing Li, Lei Chen, et al. Quantitative characterization of laser ultrasonic based on energy loss and resonance phenomenon[J]. Optik, 2020, 223: 12.

[21] Feng Qin, Bing Li, Lei Chen, et al. Laser-induced surface acoustic waves for measurement of elastic constants based on mode conversion[J]. Materials Chemistry and Physics, 2020, 242: 122523.

[22] Fei Gao, Bing Li, Lei Chen*, et al. A softmax classifier for high-precision classification of ultrasonic similar signals[J]. Ultrasonics, 2021, 112: 106344.

[23] Fei Gao, Bing Li, Lei Chen*, et al. Ultrasonic signal denoising based on autoencoder[J]. Review of Scientific Instruments, 2020, 91 (4): 9.

[24] 李兵, 李章兵, 陈磊. 燃气轮机透平叶片数字射线检测分区及透照参数确定方法[J]. 西安交通大学学报, 2019, 53 (10): 31-39.

[25] Meiting Xin, Bing Li, Xiao Yan, Lei Chen*, et al. A robust cloud registration method based on redundant data reduction using backpropagation neural network and shift window[J]. Review of Scientific Instruments, 2018, 89 (2).

[26] 李兵, 闫潇, 陈磊等. 一种基于激光传感器快速检测透平叶片的方法[J]. 光子学报, 2017, 46 (11): 211-221.

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[6] 李兵; 李章兵; 陈磊等. 一种模型未知的燃气轮机高温叶片数字射线检测分区方法, 201810738749.4

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[8] 李兵; 王曰根; 方宇; 陈磊等. 基于区域分割探测的燃气轮机叶片缺陷提取与分析方法, 201510068469.3

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[2] 激光超声表面波检测数据分析软件V1.0, 2021SR0608015, 2021-03-05

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[4] 电池丝印质量视觉检测系统V1.0, 2018SR004544, 2018-01-03

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