Page 99 - 《应用声学》2025年第1期
P. 99
第 44 卷 第 1 期 肖权旌等: 改进 YOLOv5 的高密度聚乙烯管热熔接头 3D 全聚焦成像缺陷识别分析 95
缺陷,由于其缺陷特性,容易造成 TFM 成像检测效 [10] 肖权旌, 王强, 许卫荣, 等. 高密度聚乙烯管道热熔接头 3D 全
果不明显,或是成像时形成的杂波、伪缺陷混淆非 聚焦成像试验分析 [J]. 压力容器, 2022, 39(12): 62–70.
Xiao Quanjing, Wang Qiang, Xu Weirong, et al. Exper-
典型缺陷识别。针对此类缺陷,需进一步提出高分
imental analysis of 3D total focusing method imaging of
辨率 TFM 成像检测方法,同时也需要高精度的图 hot melt joint of high-density polyethylene pipe[J]. Pres-
像识别算法提升缺陷识别准确率。 sure Vessel Technology, 2022, 39(12): 62–70.
[11] 彭伊娟, 王振超, 张秋菊. 改进的 Faster-RCNN 算法在聚乙
烯管接头内部缺陷检测中的应用 [J]. 应用声学, 2023, 42(5):
参 考 文 献 984–992.
Peng Yijuan, Wang Zhenchao, Zhang Qiuju. Application
of improved Faster-RCNN algorithm in internal defect de-
[1] Wang Y X, Lin D, Xiang M L, et al. Experimental study tection of polyethylene pipe joint[J]. Journal of Applied
on aging performance of polyethylene gas pipelines[C]. Acoustics, 2023, 42(5): 984–992.
Proceedings of the 3rd International Conference on Air
[12] Chen Z Q, Li C, Sanchez R V. Gearbox fault identification
Pollution and Environmental Engineering, Electr Net-
and classification with convolutional neural networks[J].
work, F Sep. 28–29, 2020, 2020.
Shock and Vibration, 2015, 2015: 1–10.
[2] Liu X B, Zhang H, Xia M Y, et al. Mechanical response of
[13] Ren R X, Hung T, Tan K C. A generic deep-learning-
buried polyethylene pipelines under excavation load dur-
based approach for automated surface inspection[J]. IEEE
ing pavement construction[J]. Engineering Failure Analy-
Transactions on Cybernetics, 2018, 48(3): 929–940.
sis, 2018, 90: 355–370.
[14] Yan Y, Liu D, Gao B, et al. A deep learning-based ultra-
[3] Holmes C, Drinkwater B W, Wilcox P D. Post-processing
sonic pattern recognition method for inspecting girth weld
of the full matrix of ultrasonic transmit–receive array data
cracking of gas pipeline[J]. IEEE Sensors Journal, 2020,
for non-destructive evaluation[J]. NDT & E International,
20(14): 7997–8006.
2005, 38(8): 701–711.
[15] Zhang D C, Stewart E, Entezami M, et al. Intelligent
[4] 谢世杰, 许卫荣, 王强, 等. 高密度聚乙烯管热熔接头的全聚
acoustic-based fault diagnosis of roller bearings using a
焦成像实验分析 [J]. 河南科技大学学报 (自然科学版), 2022,
deep graph convolutional network[J]. Measurement, 2020,
43(1): 46–51, 7.
156: 107585.
Xie Shijie, Xu Weirong, Wang Qiang, et al. Experimental
[16] Nguyen C D, Ahmad Z, Kim J M. Gearbox fault identi-
analysis of high density polyethylene butt fusion joints by
fication framework based on novel localized adaptive de-
total focusing method imaging[J]. Journal of Henan Uni-
noising technique, wavelet-based vibration imaging, and
versity of Science and Technology (Natural Science), 2022,
deep convolutional neural network[J]. Applied Sciences-
43(1): 46–51, 7.
Basel, 2021, 11(16): 7575.
[5] De Villaver E L, Robert S, Prada C. Ultrasonic imaging
in highly attenuating materials with Hadamard codes and [17] 余泽禹, 袁洪强, 卫小龙, 等. 基于深度学习的管道焊缝超
the decomposition of the time reversal operator[J]. IEEE 声检测缺陷识别方法 [J]. 科学技术与工程, 2022, 22(30):
Transactions on Ultrasonics Ferroelectrics & Frequency 13288–13292.
Control, 2017, 64(9): 1336–1344. Yu Zeyu, Yuan Hongqiang, Wei Xiaolong, et al. Defect
[6] 解俊炜, 许卫荣, 王强, 等. 聚乙烯管热熔接头超声相控阵检 identification method of pipeline weld ultrasonic testing
测及检出率定量分析 [J]. 河南科技大学学报 (自然科学版), based on deep learning[J]. Science Technology and Engi-
2019, 40(3): 11–16, 5. neering, 2022, 22(30): 13288–13292.
Xie Junwei, Xu Weirong, Wang Qiang, et al. Ultrasonic [18] 桑宏强, 刘雨轩, 刘芬. 改进卷积神经网络在工件表面缺
phased array testing and probability of detection quanti- 陷检测中的应用 [J]. 组合机床与自动化加工技术, 2020(8):
tative analysis of polyethylene pipe butt fusion joints[J]. 43–47.
Journal of Henan University of Science and Technology Sang Hongqiang, Liu Yuxuan, Liu Feng. Application of
(Natural Science), 2019, 40(3): 11–16, 5. improved convolutional neural network in surface defect
[7] Marmonier M, Robert S, Laurent J, et al. Real-time detection of workpieces[J]. Modular Machine Tool and Au-
3D imaging with Fourier-domain algorithms and matrix tomatic Manufacturing Technique, 2020(8): 43–47.
arrays applied to non-destructive testing[J]. Ultrasonics, [19] 徐继升, 任姣姣, 张丹丹, 等. 基于小波散射网络的聚乙烯
2022, 124: 106708. 管道热熔接头缺陷太赫兹识别 [J]. 光子学报, 2023, 52(1):
[8] Saini A, Lane C J L, Tu J, et al. 3D ultrasonic imaging of 145–156.
surface-breaking cracks using a linear array[J]. Ultrason- Xu Jisheng, Ren Jiaojiao, Zhang Dandan, et al. Terahertz
ics, 2022, 125: 106790. identification of hot melting joint defects in polyethylene
[9] Mckee J G, Bevan R L T, Wilcox P D, et al. Volu- pipe based on wavelet scattering network[J]. Acta Pho-
metric imaging through a doubly-curved surface using a tonica Sinica, 2023, 52(1): 145–156.
2D phased array[J]. NDT & E International, 2020, 113: [20] Medak D, Posilovic L, Subasic M, et al. Automated defect
102260. detection from ultrasonic images using deep learning[J].