Page 128 - 无损检测2024年第十一期
P. 128

左万君,等:

              管道超声导波检测技术研究进展

                [38]  K AN N AN   E ,MAX F I E L D  B  W ,           split-spectrum  processing[J]. Sensors,2020,20(17):
                   BALASUBRAMANIAM  K.SHM  of  pipes  using          4759.
                   torsional  waves  generated  by  in situ  magnetostrictive     [46]  YANG  Y  J,ZHONG  J  K,QIN  A  S,et  al.Feature
                   tapes[J]. Smart  Materials  and  Structures,2007,16(6):  extraction  of  ultrasonic  guided  wave  weld  detection
                   2505-2515.                                        based  on  group  sparse  wavelet  transform  with  tunable
                [39]  ZHANG  X  W,TANG  Z  F,LV  F  Z,et  al.Helical   Q-factor[J]. Measurement,2023,206:112314.
                   comb  magnetostrictive  patch  transducers  for     [47]  吴锦豪,王强,叶宇峰,等. 基于时间反转的超声导
                   inspecting  spiral  welded  pipes  using  flexural  guided   波阵列燃气管道缺陷检测数值模拟  [J]. 热加工工艺,
                   waves[J]. Ultrasonics,2017,74:1-10.               2024:1-5.
                [40]  KIM H W,CHO S H,KIM Y Y.Analysis of internal     [48]  HAYASHI  T,MURASE  M.Mode  extraction
                   wave reflection within a magnetostrictive patch transducer   technique  for  guided  waves  in  a  pipe[J]. Nondestructive
                   for high-frequency guided torsional waves[J]. Ultrasonics,  Testing and Evaluation,2005,20(1):63-75.
                   2011,51(6):647-652.                            [49]  陈乐,王悦民,耿海泉,等. 弯曲导波模态分离与频散
                [41]  姜颖, 郭新峰,项延训. SH电磁超声换能器优化设计及                    补偿研究 [J]. 中国测试,2016,42(12):132-135.
                   粘接强度测量[J]. 声学技术,2023,42(5):695-700.            [50]  黄吉,孙明健,刘旸,等. 基于模态分离的圆管裂纹超
                [42]  BOMBARDA  D,VITETTA  G  M,FERRANTE  G.         声导波无损检测[J]. 无损检测,2020,42(9):12-16,20.
                   Rail  diagnostics  based  on  ultrasonic  guided  waves:an     [51]  王小丫,王鉴,秦鹏,等. 基于导波基函数投影变换的单
                   overview[J]. Applied Sciences,2021,11(3):1071.    模态超声导波提取方法 [J]. 机械工程学报,2024:1-9.
                [43]  DIOGO A R,MOREIRA B,GOUVEIA C A J,et al.     [52]  KONG  W  Y,WANG  Y  B,LI  D,et  al.A  Bayesian
                   A  review  of  signal  processing  techniques  for  ultrasonic   filtering  approach  to  multimode  separation  and  retrieval
                   guided wave testing[J]. Metals,2022,12(6):936.    of  ultrasonic  guided  waves[J]. IEEE  Transactions  on
                [44]  ROSTAMI J,TSE P,FANG Z.Sparse and dispersion-  Ultrasonics,Ferroelectrics,and  Frequency  Control,
                   based  matching  pursuit  for  minimizing  the  dispersion   2023,70(7):721-735.
                   effect  occurring  when  using  guided  wave  for  pipe     [53]  LI G,ZHANG J,CHENG J K,et al.Multi-order mode
                   inspection[J]. Materials,2017,10(6):622.          excitation  and  separation  of  ultrasonic  guided  waves
                [45]  PEDRAM  S  K,GAN  T  H,GHAFOURIAN  M.          in  rod  structures  using  2D-FFT[J]. Sensors,2023,
                   Improved  defect  detection  of  guided  wave  testing  using   23(20):8483.










              (上接第72页)                                               表面缺陷检测研究[J]. 新型工业化,2021,11(12):114-
                [6]  张小琳,刘祎,白贇沨,等. 基于背景估计的焊缝缺陷                       117.
                   检测[J]. 电子测量技术,2022,45(14):116-122.             [11]  XU Y M,ZHANG K,WANG L.Metal surface defect
                [7]  黄梦涛,连一鑫. 基于改进Canny算子的锂电池极片                      detection  using  modified  YOLO[J]. Algorithms,2021,
                   表面缺陷检测[J]. 仪器仪表学报,2021,42(10):199-                14(9):257.
                   209.                                           [12]  李闻,李小春,闫昊雷. 基于改进YOLO  V3的PCB缺
                [8]  王宪保,李洁,姚明海,等. 基于深度学习的太阳能                        陷检测[J]. 电光与控制,2022,29(4):106-111.
                   电池片表面缺陷检测方法[J]. 模式识别与人工智能,                     [13]  LI  M  J,WANG  H,WAN  Z  B.Surface  defect
                   2014,27(6):517-523.                               detection  of  steel  strips  based  on  improved
                [9]  CHEN  G  D,XU  F,LIU  G  H,et  al.ESDDNet:      YOLOV4[J]. Computers  and  Electrical  Engineering,
                   efficient  small  defect  detection  network  of  workpiece   2022,102: 108208.
                   surface[J]. Measurement Science and Technology,2022,    [14]  伍济钢,成远,邵俊,等. 基于改进YOLO  V4算法的
                   33(10):105007.                                    PCB缺陷检测研究[J]. 仪器仪表学报,2021,42(10):
                [10]  于志斌,胡泓. 基于YOLO算法与机器视觉的晶圆片                      171-178.




                90
                     2024 年 第 46 卷 第 11 期
                     无损检测
   123   124   125   126   127   128   129   130   131   132   133