Artículos de revistas sobre el tema "Crack location detection"
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Kim, Byeong-Cheol y Byung-Jik Son. "Crack Detection of Concrete Images Using Dilatation and Crack Detection Algorithms". Applied Sciences 13, n.º 16 (14 de agosto de 2023): 9238. http://dx.doi.org/10.3390/app13169238.
Texto completoNwosu, D. I., A. S. J. Swamidas y J. Y. Guigne´. "Dynamic Response of Tubular T-Joints Under the Influence of Propagating Cracks". Journal of Offshore Mechanics and Arctic Engineering 118, n.º 1 (1 de febrero de 1996): 71–78. http://dx.doi.org/10.1115/1.2828804.
Texto completoWang, Fei, Xue Zeng Zhao y Jia Ying Chen. "Detection of Multiple Cracks in Triangular Cantilevers Based on Frequency Measurements". Key Engineering Materials 324-325 (noviembre de 2006): 259–62. http://dx.doi.org/10.4028/www.scientific.net/kem.324-325.259.
Texto completoKhalkar, V. y S. Ramachandran. "The effect of crack geometry on non-destructive fault detection of EN 8 and EN 47 cracked cantilever beam". Noise & Vibration Worldwide 50, n.º 3 (marzo de 2019): 92–100. http://dx.doi.org/10.1177/0957456519834537.
Texto completoZhao, Yiming, Jing Yan, Yanxin Wang, Qianzhen Jing y Tingliang Liu. "Porcelain Insulator Crack Location and Surface States Pattern Recognition Based on Hyperspectral Technology". Entropy 23, n.º 4 (20 de abril de 2021): 486. http://dx.doi.org/10.3390/e23040486.
Texto completoYuan, Yingtao, Zhendong Ge, Xin Su, Xiang Guo, Tao Suo, Yan Liu y Qifeng Yu. "Crack Length Measurement Using Convolutional Neural Networks and Image Processing". Sensors 21, n.º 17 (1 de septiembre de 2021): 5894. http://dx.doi.org/10.3390/s21175894.
Texto completoSethi, Rabinarayan, S. K. Senapati y Dayal R. Parhi. "Structural Damage Detection by Fuzzy Logic Technique". Applied Mechanics and Materials 592-594 (julio de 2014): 1175–79. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.1175.
Texto completoXu, Guoyan, Xu Han, Yuwei Zhang y Chunyan Wu. "Dam Crack Image Detection Model on Feature Enhancement and Attention Mechanism". Water 15, n.º 1 (25 de diciembre de 2022): 64. http://dx.doi.org/10.3390/w15010064.
Texto completoAhn, Ju-Hun, Yong-Chan Lee, Se-Min Jeong, Han-Na Kim y Chang-Yull Lee. "Crack Detecting Method Based on Grid-Type Sensing Networks Using Electrical Signals". Sensors 23, n.º 13 (2 de julio de 2023): 6093. http://dx.doi.org/10.3390/s23136093.
Texto completoFang, Zhi Hua y Xiang Yang Liu. "Research on Recognition Methods of Crack Damage from Beam Based on the Vibration Modal". Applied Mechanics and Materials 578-579 (julio de 2014): 1024–27. http://dx.doi.org/10.4028/www.scientific.net/amm.578-579.1024.
Texto completoWu, Wei Liang, Wen Zhong Qu y Li Xiao. "Closed Crack Detection with Nonlinear Instantaneous Baseline". Key Engineering Materials 577-578 (septiembre de 2013): 633–36. http://dx.doi.org/10.4028/www.scientific.net/kem.577-578.633.
Texto completoYuan, Hangming, Tao Jin y Xiaowei Ye. "Establishment and Application of Crowd-Sensing-Based System for Bridge Structural Crack Detection". Applied Sciences 13, n.º 14 (18 de julio de 2023): 8281. http://dx.doi.org/10.3390/app13148281.
Texto completoKhalkar, V. y S. Ramachandran. "The effect of crack geometry on stiffness of spring steel cantilever beam". Journal of Low Frequency Noise, Vibration and Active Control 37, n.º 4 (4 de abril de 2018): 762–73. http://dx.doi.org/10.1177/1461348418765959.
Texto completoLi, Guangjun, Lin Nan, Lu Zhang, Manman Feng, Yan Liu y Xu Meng. "Research on Infrared Image Fusion Technology Based on Road Crack Detection". Journal of World Architecture 7, n.º 3 (28 de junio de 2023): 21–26. http://dx.doi.org/10.26689/jwa.v7i3.4826.
Texto completoAn, Qing, Xijiang Chen, Xiaoyan Du, Jiewen Yang, Shusen Wu y Ya Ban. "Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning". Complexity 2021 (9 de agosto de 2021): 1–15. http://dx.doi.org/10.1155/2021/3159968.
Texto completoSong, Xiangbo. "Automatic bridge crack detection device based on quadrotor UAV". Journal of Physics: Conference Series 2031, n.º 1 (1 de septiembre de 2021): 012004. http://dx.doi.org/10.1088/1742-6596/2031/1/012004.
Texto completoZohra, Fatema Tuz, Omar Salim, Hossein Masoumi, Nemai C. Karmakar y Shuvashis Dey. "Health Monitoring of Conveyor Belt Using UHF RFID and Multi-Class Neural Networks". Electronics 11, n.º 22 (15 de noviembre de 2022): 3737. http://dx.doi.org/10.3390/electronics11223737.
Texto completoGui, Xin, Zhengying Li, Xuelei Fu, Changjia Wang, Yiming Wang, Hongli Li y Honghai Wang. "High-Density Distributed Crack Tip Sensing System Using Dense Ultra-Short FBG Sensors". Sensors 19, n.º 7 (10 de abril de 2019): 1702. http://dx.doi.org/10.3390/s19071702.
Texto completoMayekar, Vijay. "Crack Detection by Ultrasonic System on Locomotive-Track". International Journal for Research in Applied Science and Engineering Technology 9, n.º 8 (31 de agosto de 2021): 1910–16. http://dx.doi.org/10.22214/ijraset.2021.37681.
Texto completoSayyad, FB, B. Kumar y SA Khan. "Approximate analytical method for damage detection in free–free beam by measurement of axial vibrations". International Journal of Damage Mechanics 22, n.º 1 (27 de marzo de 2012): 133–42. http://dx.doi.org/10.1177/1056789512440897.
Texto completoYu, Lingjun y Qi Li. "Deep Learning based Pavement Crack Detection System". Journal of Physics: Conference Series 2560, n.º 1 (1 de agosto de 2023): 012045. http://dx.doi.org/10.1088/1742-6596/2560/1/012045.
Texto completoSahu, Sasmita, Priyadarshi Biplab Kumar y Dayal R. Parhi. "A hybridised CSAGA method for damage detection in structural elements". Mechanics & Industry 19, n.º 4 (2018): 407. http://dx.doi.org/10.1051/meca/2018023.
Texto completoMakris, Ruben, Falk Hille, Marc Thiele, Dirk Kirschberger y Damian Sowietzki. "Crack luminescence as an innovative method for detection of fatigue damage". Journal of Sensors and Sensor Systems 7, n.º 1 (10 de abril de 2018): 259–66. http://dx.doi.org/10.5194/jsss-7-259-2018.
Texto completoDing, Weihua, Lin Zhu, Hu Li, Man Lei, Fan Yang, Junrong Qin y Aiguo Li. "Relationship between Concrete Hole Shape and Meso-Crack Evolution Based on Stereology Theory and CT Scan under Compression". Materials 15, n.º 16 (16 de agosto de 2022): 5640. http://dx.doi.org/10.3390/ma15165640.
Texto completoNtakpe, Jean Louis, Gilbert Rainer Gillich, Florian Muntean, Zeno Iosif Praisach y Peter Lorenz. "Vibration-Based Crack Detection in L-Frames". Applied Mechanics and Materials 658 (octubre de 2014): 261–68. http://dx.doi.org/10.4028/www.scientific.net/amm.658.261.
Texto completoFeng, Chuncheng, Hua Zhang, Haoran Wang, Shuang Wang y Yonglong Li. "Automatic Pixel-Level Crack Detection on Dam Surface Using Deep Convolutional Network". Sensors 20, n.º 7 (7 de abril de 2020): 2069. http://dx.doi.org/10.3390/s20072069.
Texto completoBarat, Vera, Artem Marchenkov, Sergey Ushanov, Vladimir Bardakov y Sergey Elizarov. "Investigation of Acoustic Emission of Cracks in Rails under Loading Close to Operational". Applied Sciences 12, n.º 22 (17 de noviembre de 2022): 11670. http://dx.doi.org/10.3390/app122211670.
Texto completoFan, Jin Zhi. "Surface Crack Detection in Building Wall Based on Computer Vision". Applied Mechanics and Materials 651-653 (septiembre de 2014): 524–27. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.524.
Texto completoMeng, G. y E. J. Hahn. "Dynamic Response of a Cracked Rotor With Some Comments on Crack Detection". Journal of Engineering for Gas Turbines and Power 119, n.º 2 (1 de abril de 1997): 447–55. http://dx.doi.org/10.1115/1.2815595.
Texto completoChen, Keqin, Amit Yadav, Asif Khan, Yixin Meng y Kun Zhu. "Improved Crack Detection and Recognition Based on Convolutional Neural Network". Modelling and Simulation in Engineering 2019 (14 de octubre de 2019): 1–8. http://dx.doi.org/10.1155/2019/8796743.
Texto completoPark, Philip, Yong Hak Huh, Dong Jin Kim y Byung Jik Son. "Crack Detection by Static Measurement in Steel Beams". Key Engineering Materials 321-323 (octubre de 2006): 394–99. http://dx.doi.org/10.4028/www.scientific.net/kem.321-323.394.
Texto completoLi, Shengli, Chaoqun Wang, Panxu Sun, Guangming Wu y Dongwei Wang. "A localization method for concealed cracks in the road base based on ground penetrating radar". Advances in Mechanical Engineering 8, n.º 12 (diciembre de 2016): 168781401668315. http://dx.doi.org/10.1177/1687814016683154.
Texto completoAshwini, Kosanam, Sasmita Sahu, Bijaya Bijeta Nayak y Sudesna Roy. "Damage detection in structural elements: using adaptive Mamdani model". E3S Web of Conferences 391 (2023): 01165. http://dx.doi.org/10.1051/e3sconf/202339101165.
Texto completoTapeinos, Christos I., Maria D. Kamitsou, Konstantinos G. Dassios, Dimitris Kouzoudis, Aggeliki Christogerou y Georgios Samourgkanidis. "Contactless and Vibration-Based Damage Detection in Rectangular Cement Beams Using Magnetoelastic Ribbon Sensors". Sensors 23, n.º 12 (9 de junio de 2023): 5453. http://dx.doi.org/10.3390/s23125453.
Texto completoGavrilov, A. A., G. I. Grebenyuk, V. I. Maksak y N. A. Morozov. "Crack modeling of metal rod eigen-frequencies". Vestnik Tomskogo gosudarstvennogo arkhitekturno-stroitel'nogo universiteta. JOURNAL of Construction and Architecture 23, n.º 2 (30 de abril de 2021): 56–64. http://dx.doi.org/10.31675/1607-1859-2021-23-2-56-64.
Texto completoZhang, Qinghua y Ziming Xiong. "Crack Detection of Reinforced Concrete Structures Based on BOFDA and FBG Sensors". Shock and Vibration 2018 (3 de septiembre de 2018): 1–10. http://dx.doi.org/10.1155/2018/6563537.
Texto completoWang, Fei y Xue Zeng Zhao. "Nondestructive Detection of a Crack in a Triangular Cantilever Beam Based on Frequency Measurement". Key Engineering Materials 353-358 (septiembre de 2007): 2285–88. http://dx.doi.org/10.4028/www.scientific.net/kem.353-358.2285.
Texto completoBrockman, R. A., R. John y M. A. Huelsman. "Using deformation modes to identify cracks in turbine engine compressor disks". Aeronautical Journal 113, n.º 1150 (diciembre de 2009): 811–19. http://dx.doi.org/10.1017/s0001924000003468.
Texto completoWinklberger, Markus, Christoph Kralovec, Christoph Humer, Peter Heftberger y Martin Schagerl. "Crack Identification in Necked Double Shear Lugs by Means of the Electro-Mechanical Impedance Method". Sensors 21, n.º 1 (23 de diciembre de 2020): 44. http://dx.doi.org/10.3390/s21010044.
Texto completoYoon, Dong Jin, Sang Il Lee, Jaehwa Kwon y Young Sup Lee. "Characteristics of Patch Type Smart-Piezo-Sensor for Smart Structures". Key Engineering Materials 297-300 (noviembre de 2005): 2010–15. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2010.
Texto completoPark, So Soon, Seok Hwan Ahn, Chang Kwon Moon y Ki Woo Nam. "Fatigue Crack Propagation Behavior and Degradation Characteristics of STS316L by Nondestructive Evaluation". Key Engineering Materials 297-300 (noviembre de 2005): 2016–21. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2016.
Texto completoRanjan, Rajeev. "Dynamic Behaviour and Crack Detection of a Multi Cracked Rotating Shaft using Adaptive Neuro-Fuzzy-Inference System". International Journal of Manufacturing, Materials, and Mechanical Engineering 6, n.º 4 (octubre de 2016): 1–10. http://dx.doi.org/10.4018/ijmmme.2016100101.
Texto completoDias Gueiral, Nuno Eduardo, Elisabete Maria da Silva Marques Nogueira y Antonio Manuel de Amaral Monteiro Ramos. "Crack Detection by Wavelet-Based Acoustic Emission Test In Vitro Cemented Implant". Materials Science Forum 638-642 (enero de 2010): 558–63. http://dx.doi.org/10.4028/www.scientific.net/msf.638-642.558.
Texto completoM N, Sumaiya, Prajwal K, Rao Shravan Vasudev, Shreya K A, Thrishul R y R. Manjunath Prasad. "Comparative Analysis of Concrete Crack Detection using Image Processing and Artificial Intelligence". Journal of Image Processing and Artificial Intelligence 9, n.º 1 (11 de enero de 2023): 8–15. http://dx.doi.org/10.46610/joipai.2023.v09i01.002.
Texto completoSun, Zhaoyun, Junzhi Zhai, Lili Pei, Wei Li y Kaiyue Zhao. "Automatic Pavement Crack Detection Transformer Based on Convolutional and Sequential Feature Fusion". Sensors 23, n.º 7 (6 de abril de 2023): 3772. http://dx.doi.org/10.3390/s23073772.
Texto completoLiu, Xuekun, Shixi Yang, Yongqiang Liu, Yongwei Chi y Xiwen Gu. "Surface Crack Identification on a Cylinder Using the Signal Enhancement of the Scanning Laser Line Source Method". Applied Sciences 8, n.º 10 (1 de octubre de 2018): 1796. http://dx.doi.org/10.3390/app8101796.
Texto completoTewelde, Samrawit A. y Marek Krawczuk. "Nonlinear Vibration Analysis of Beam and Plate with Closed Crack: A Review". Acta Mechanica et Automatica 16, n.º 3 (1 de septiembre de 2022): 274–85. http://dx.doi.org/10.2478/ama-2022-0033.
Texto completoLEE, T. Y. y T. Y. KAM. "DETECTION OF CRACK LOCATION VIA A GLOBAL MINIMIZATION APPROACH". Engineering Optimization 21, n.º 2 (julio de 1993): 147–59. http://dx.doi.org/10.1080/03052159308940972.
Texto completoWang, Linlin, Junjie Li y Fei Kang. "Crack Location and Degree Detection Method Based on YOLOX Model". Applied Sciences 12, n.º 24 (8 de diciembre de 2022): 12572. http://dx.doi.org/10.3390/app122412572.
Texto completoWang, Quan, Zhijie Zhang, Wuliang Yin, Haoze Chen y Yushan Liu. "Defect Detection Method for CFRP Based on Line Laser Thermography". Micromachines 13, n.º 4 (13 de abril de 2022): 612. http://dx.doi.org/10.3390/mi13040612.
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