[1] LI Qing, FU Fanping, ZHANG Bo et al. Limited-angle CT method for detecting internal defects of aluminum conductor composite core[J]. Nuclear Electronics & Detection Technology, 41, 392-396(2021).

[2] WAN Jiancheng, SONG Zeming, HUANG Qiang et al. Application of X-ray nondestructive testing in crimping carbon fiber conductor[J]. Chinese Journal of Stereology and Image Analysis, 25, 242-251(2020).

[3] ZHOU Fangrong, ZHANG Hui, ZHE Meilin et al. A power transmission line and its defect detection method based on data enhancement, augmentation and neural network[J]. Southern Power System Technology, 16, 131-142(2022).

[4] JI Jianyu, WANG Rong, WU Qi et al. Ultrasonic damage detection of matrix cracks in carbon fiber reinforced polymer composites using phase-shifted fiber Bragg grating sensor[J]. Acta Materiae Compositae Sinica, 37, 113-120(2020).

[5] LYU Zhongbin, TIAN Zhongjian, LIU Guanghui et al. Inspecting defects of ACCC by linear scanning CT[J]. Journal of Chongqing University, 44, 95-103(2021).

[6] ZHAO Yongjun, LIAO Sheng, YANG Wanrui et al. Analysis of a case of defect of overhead insulated conductors in distribution network based on acoustic and infrared imaging detection technology[J]. Electrical Engineering, 23, 95-99(2022).

[7] CHEN Dabing, WEI Hanlai, HU Yining et al. Tandardized enhancement and detection of defects in X-ray images of carbon fiber composite core wires[J]. Journal of Data Acquisition and Processing, 35, 739-744(2020).

[8] CAI Yongjun, YANG Shimei, LI Yan et al. Monitoring technology for complex state of pipeline route based on optical fiber sensing[J]. Oil & Gas Storage and Transportation, 39, 434-440(2020).

[9] SONG Minyu, CHEN Lirong, LIANG Jianan et al. Real-time optical fiber end surface defects detection model based on lightweight improved network[J]. Laser & Optoelectronics Progress, 59, 201-211(2022).

[10] GUI Xin, LI Zhengying, WANG Honghai et al. Review of distributed optical fiber sensing technology and application based on large-scale grating array fiber[J]. Journal of Applied Sciences, 39, 747-776(2021).

[11] ZHANG Zhongliu, HE Ning, HE Bin et al. New method to measure structure stress based on distributed optical fiber technology[J]. Chinese Journal of Scientific Instrument, 41, 45-55(2020).

[12] MA Jiaxiao, WANG Yonghong, ZHANG Mingyi et al. Experimental study on penetration characteristics of open pipe pile based on fiber Bragg grating sensing technology[J]. Laser & Optoelectronics Progress, 57, 128-134(2020).

[13] HU Yang, GUO Tongda, LONG Wanxue et al. Research on deformation characteristics and internal forces of double-row circular piles based on BOTDA distributed optical fiber sensing technology[J]. Journal of Xi'an University of Architecture & Technology(Natural Science Edition), 53, 692-699(2021).

[14] WU Ziqiang, FAN Weisong, SI Rong. Cable ditch multi-parameter distributed optical fiber sensing system using single-core single-mode optical fiber[J]. Electronic Design Engineering, 29, 29-32(2021).

[15] HUANG Xinbo, ZHANG Xiaoling, ZHANG Ye et al. State identification of transmission line defect based on radial basis probabilistic neural network[J]. Automation of Electric Power Systems, 44, 201-210(2020).

[16] JIANG S, LU X, WANG H et al. Simulation and experimental study of remote field current testing for hidden defects of aluminum alloy plate with damping coating[J]. Sensor Review, 42, 365-376(2022).

[17] MATHIVANAN D, LAN C W, CHANG H. In-line detection of defects in steel pipes using flexible GMR sensor array[J]. Journal of King Saud University - Science, 34, 1017-1025(2021).

[18] GE Jin, CHENG Xiaojin, SHANG Jianhua. Study of defect detection mechanism of carbon fiber reinforced polymer based on laser thermoelastic effect[J]. Journal of Optoelectronics·Laser, 33, 83-90(2022).

[19] LI Honghong, LI Shuo, XIU Chunbo et al. Detection method of plain weave carbon fiber reinforced plastics based on array electromagnetic sensor[J]. Journal of Tiangong University, 41, 48-54(2022).

[20] CHEN Congmao, ZHOU Hong, HAO Baoqian et al. Nondestructive testing simulation for surface defects of carbon fiber materials[J]. Electronic Test, 23, 101-104(2021).

[21] TIAN Meng, WANG Liping, ZHANG Yong et al. Research on ultrasonic detection testing of CFRP for railway car-body[J]. Rolling Stock, 59, 90-96(2021).

[22] HU Yefa, MENG You, ZHANG Jinguang et al. Nondestructive testing and evaluation of carbon fiber reinforced polymer laminates with inclusions[J]. Composites Science and Engineering, 11, 94-100(2023).

[23] ZHANG Quanli, ZENG Jiaheng, YANG Zhen et al. Ultrasonic detection of defects and simulation of mechanical properties for carbon fiber composites[J]. Machine Building & Automation, 51, 136-141(2022).