Page 144 - 无损检测2021年第二期

院企风采

提供振动激励，利用多通道融合传感器采集碰撞噪声信 inspection of the surface crack for the main shaft
号，通过高速数据采集系统将信号传递至上位机。上位 of a wind turbine from the end face[J]. NDT&E
机采用短时能量门限检测法提取信号脉冲；提取多种时 International, 2020, 114: 102283.
频域特征，并与小波域特征相结合；通过训练多输出的 [5] LYU H, ZHANG J, JIAO J, et al. Fatigue
神经网络预测模型自动判断被测件内部是否存在多余物 crack inspection and characterization using non-
颗粒，并自动给出多余物材料信息。试验结果表明，该 collinear shear wave mixing [J]. Smart Materials and
系统判断质量为 0.1 mg 以上多余物有无的准确率可达 Structures, 2020, 29(5):055024.
99%，对多余物材料识别的准确率可达 91%。 [6] LIU H, WANG H, LYU Y, et al. A novel
triboelectric nanogenerator based on carbon
fiber reinforced composite lamina and as a self-
powered displacement sensor[J]. Microelectronic
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[7] LIU H, LIU S, CHEN X, et al. Coupled Lamb
waves propagation along the direction of non-
principal symmetry axes in pre-stressed anisotropic
composite lamina[J]. Wave Motion, 2020, 97:
图 19 密封电子器件多余物检测系统外观
102591.
申请软件著作为 PIND 系统颗粒碰撞噪声自动检测与 [8] LIU Z, LI A, WU B, et al. Development of
材料识别软件。
a wholly flexible surface wave electromagnetic
3 科研项目 acoustic transducer for pipe inspection[J].
International Journal of Applied Electromagnetics
2020 年无损检测与评价研究所获批国家自然科学基
金项目：① 锂离子电池内部全场状态参数的声学无损表 and Mechanics, 2020, 62(1):13-29.
征方法研究；② 金属板中疲劳裂纹的兰姆波逆时偏移成 [9] LIU Z, DENG L, ZHANG Y, et al. Development
of an omni-directional magnetic concentrator type
像方法研究。
electromagnetic acoustic transducer[J].NDT&E
获批北京市教育委员会科技计划重点项目 1 项：新能
International, 2020, 109:102193.
源电池荷电状态与健康状态无损检测与评价方法研究。
[10] LIU Z, DENG L, ZHANG Y, et al.
4 部分学术论文 Development of a directional magnetic-
[1] CHENG J,HE C,LYU Y, et al. Method for concentrator-type electromagnetic acoustic
evaluation of surface crack size of wind turbine transducer for ultrasonic guided wave inspection[J].
main shaft by using ultrasonic diffracted waves[J]. Sensors and Actuators A: Physical, 2020, 303:
Smart Materials and Structures, 2020, 29(7): 075009. 111859.
[2] SONG G, ZHANG B, LYU Y, et al. Strain [11] LIU Z, ZHAO X, PEI N, et al. Numerical
omnidirectional detection based on circular patch decoupling study of EMAT testing signal for
antenna[J]. Sensors and Actuators A: Physical, ferromagnetic materials[J]. IEEE Sensors Journal,
2020, 315: 112275. 2020, 20(7):3476-3486.

[3] HE C, LI Y, LYU Y, et al. Ultrasonic reflection [12] LIU Z, PENG Q, LI X, et al. Acoustic
characteristics of FRP-to-FRP bonded joints with emission source localization using generalized
thick adhesive layers for bonding evaluation: regression neural network based on time difference
Theoretical analysis[J]. Composite Structures, 2020, mapping method[J].Experimental Mechanics, 2020,
246:112402. 60:679-694.

[4] CHENG J, HE C, LYU Y, et al. Ultrasonic [13] CHEN H, LIU Z, WU B, et al. A nonlinear

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2021年 第43卷 第2 期
无损检测