Добірка наукової літератури з теми "Crack location detection"
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Статті в журналах з теми "Crack location detection"
Kim, Byeong-Cheol, and Byung-Jik Son. "Crack Detection of Concrete Images Using Dilatation and Crack Detection Algorithms." Applied Sciences 13, no. 16 (August 14, 2023): 9238. http://dx.doi.org/10.3390/app13169238.
Повний текст джерелаNwosu, D. I., A. S. J. Swamidas, and J. Y. Guigne´. "Dynamic Response of Tubular T-Joints Under the Influence of Propagating Cracks." Journal of Offshore Mechanics and Arctic Engineering 118, no. 1 (February 1, 1996): 71–78. http://dx.doi.org/10.1115/1.2828804.
Повний текст джерелаWang, Fei, Xue Zeng Zhao, and Jia Ying Chen. "Detection of Multiple Cracks in Triangular Cantilevers Based on Frequency Measurements." Key Engineering Materials 324-325 (November 2006): 259–62. http://dx.doi.org/10.4028/www.scientific.net/kem.324-325.259.
Повний текст джерелаKhalkar, V., and 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, no. 3 (March 2019): 92–100. http://dx.doi.org/10.1177/0957456519834537.
Повний текст джерелаZhao, Yiming, Jing Yan, Yanxin Wang, Qianzhen Jing, and Tingliang Liu. "Porcelain Insulator Crack Location and Surface States Pattern Recognition Based on Hyperspectral Technology." Entropy 23, no. 4 (April 20, 2021): 486. http://dx.doi.org/10.3390/e23040486.
Повний текст джерелаYuan, Yingtao, Zhendong Ge, Xin Su, Xiang Guo, Tao Suo, Yan Liu, and Qifeng Yu. "Crack Length Measurement Using Convolutional Neural Networks and Image Processing." Sensors 21, no. 17 (September 1, 2021): 5894. http://dx.doi.org/10.3390/s21175894.
Повний текст джерелаSethi, Rabinarayan, S. K. Senapati, and Dayal R. Parhi. "Structural Damage Detection by Fuzzy Logic Technique." Applied Mechanics and Materials 592-594 (July 2014): 1175–79. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.1175.
Повний текст джерелаXu, Guoyan, Xu Han, Yuwei Zhang, and Chunyan Wu. "Dam Crack Image Detection Model on Feature Enhancement and Attention Mechanism." Water 15, no. 1 (December 25, 2022): 64. http://dx.doi.org/10.3390/w15010064.
Повний текст джерелаAhn, Ju-Hun, Yong-Chan Lee, Se-Min Jeong, Han-Na Kim, and Chang-Yull Lee. "Crack Detecting Method Based on Grid-Type Sensing Networks Using Electrical Signals." Sensors 23, no. 13 (July 2, 2023): 6093. http://dx.doi.org/10.3390/s23136093.
Повний текст джерелаFang, Zhi Hua, and Xiang Yang Liu. "Research on Recognition Methods of Crack Damage from Beam Based on the Vibration Modal." Applied Mechanics and Materials 578-579 (July 2014): 1024–27. http://dx.doi.org/10.4028/www.scientific.net/amm.578-579.1024.
Повний текст джерелаДисертації з теми "Crack location detection"
LaBerge, Kelsen. "Exploratory Research on a Method for Detecting Shaft Radial Cracks: Severity, Location, and Feasibility." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1228403434.
Повний текст джерелаZacarias, Alisson Teixeira. "Determinação da variação de rigidez em placas, através da metodologia dos observadores de estados /." Ilha Solteira : [s.n.], 2008. http://hdl.handle.net/11449/94563.
Повний текст джерелаBanca: Vicente Lopes Júnior
Banca: Raquel Santini Leandro Rade
Resumo: Hoje em dia um dos fatores de interesse das indústrias no desenvolvimento de novas técnicas de detecção e localização de falhas é a preocupação com a segurança de seus sistemas, tendo-se a necessidade de supervisão e monitoramento de modo que as falhas sejam detectadas e corrigidas o mais rápido possível. Verifica-se na prática que determinados parâmetros dos sistemas podem variar durante o processo, devido a características específicas ou o desgaste natural de seus componentes. Sabe-se também que, mesmo nos sistemas bem projetados, a ocorrência de trincas em alguns componentes pode provocar perdas econômicas ou conduzir a situações perigosas. Os observadores de estado podem reconstruir os estados não medidos do sistema, desde que os mesmos sejam observáveis, tornando possível, desta forma, estimar as medidas nos pontos de difícil acesso. A técnica dos observadores de estado consiste em desenvolver um modelo para o sistema em análise e comparar a estimativa da saída com a saída medida, a diferença entre os dois sinais presentes resulta em um resíduo que é utilizado para análise. Neste trabalho foi montado um banco de observadores associado a um modelo de trinca de modo a acompanhar o progresso da mesma. Os resultados obtidos através de simulações computacionais em uma placa engastada discretizada pela técnica dos elementos finitos e as análises experimentais realizadas foram bastante satisfatórios, validando a metodologia desenvolvida.
Abstract: Nowadays a main factor of interest in industries in the development of new techniques for detection and localization of faults is the concern with the security of its systems. There is the need of supervising and monitoring the machines to detect and correct the fault as soon as possible. In practice it is verified that some determined parameters of the systems can vary during the process, due to the specific characteristics or the natural wearing of its components. It is known that even in well-designed systems the occurrence of cracks in some components can induce economic losses or lead to dangerous situations. The state observers methodology can reconstruct the unmeasured states of the system, since they are observable, becoming possible in this way to estimate the measures at points of difficult access. The technique of state observers consists of developing a model for the system under analysis and to compare the estimated with the measured exit, and the difference between these two signals results in a residue that is used for analysis. In this work was set up a bank of observers associated to a model of crack in order to follow its progress. The results obtained through computational simulations in a cantilever plate discretized by using the finite elements technique and the accomplished experimental analysis were sufficiently satisfactory, validating the developed methodology.
Mestre
Zacarias, Alisson Teixeira [UNESP]. "Determinação da variação de rigidez em placas, através da metodologia dos observadores de estados." Universidade Estadual Paulista (UNESP), 2008. http://hdl.handle.net/11449/94563.
Повний текст джерелаHoje em dia um dos fatores de interesse das indústrias no desenvolvimento de novas técnicas de detecção e localização de falhas é a preocupação com a segurança de seus sistemas, tendo-se a necessidade de supervisão e monitoramento de modo que as falhas sejam detectadas e corrigidas o mais rápido possível. Verifica-se na prática que determinados parâmetros dos sistemas podem variar durante o processo, devido a características específicas ou o desgaste natural de seus componentes. Sabe-se também que, mesmo nos sistemas bem projetados, a ocorrência de trincas em alguns componentes pode provocar perdas econômicas ou conduzir a situações perigosas. Os observadores de estado podem reconstruir os estados não medidos do sistema, desde que os mesmos sejam observáveis, tornando possível, desta forma, estimar as medidas nos pontos de difícil acesso. A técnica dos observadores de estado consiste em desenvolver um modelo para o sistema em análise e comparar a estimativa da saída com a saída medida, a diferença entre os dois sinais presentes resulta em um resíduo que é utilizado para análise. Neste trabalho foi montado um banco de observadores associado a um modelo de trinca de modo a acompanhar o progresso da mesma. Os resultados obtidos através de simulações computacionais em uma placa engastada discretizada pela técnica dos elementos finitos e as análises experimentais realizadas foram bastante satisfatórios, validando a metodologia desenvolvida.
Nowadays a main factor of interest in industries in the development of new techniques for detection and localization of faults is the concern with the security of its systems. There is the need of supervising and monitoring the machines to detect and correct the fault as soon as possible. In practice it is verified that some determined parameters of the systems can vary during the process, due to the specific characteristics or the natural wearing of its components. It is known that even in well-designed systems the occurrence of cracks in some components can induce economic losses or lead to dangerous situations. The state observers methodology can reconstruct the unmeasured states of the system, since they are observable, becoming possible in this way to estimate the measures at points of difficult access. The technique of state observers consists of developing a model for the system under analysis and to compare the estimated with the measured exit, and the difference between these two signals results in a residue that is used for analysis. In this work was set up a bank of observers associated to a model of crack in order to follow its progress. The results obtained through computational simulations in a cantilever plate discretized by using the finite elements technique and the accomplished experimental analysis were sufficiently satisfactory, validating the developed methodology.
LaBerge, Kelsen. "Exploratory research on a method for detecting shaft radial cracks severity, location, and feasibility /." online version, 2009. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=case1228403434.
Повний текст джерелаKulkarni, Raghavendra B. "Inverse problems solution using spectral finite element methods." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5471.
Повний текст джерелаЧастини книг з теми "Crack location detection"
Sun, Zhaoyun, Lili Pei, Bo Yuan, Yaohui Du, Wei Li, and Yuxi Han. "Pavement Crack Detection and Quantification Based on Scanning Grid and Projection Method." In Lecture Notes in Civil Engineering, 273–81. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1260-3_24.
Повний текст джерелаDing, Mengling, and Kwanghee Won. "Crack Detection and Location Estimation Using a Convolutional Neural Network." In Communications in Computer and Information Science, 184–88. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81638-4_15.
Повний текст джерелаZhang, Zhifen, Rui Qin, Yujiao Yuan, Wenjing Ren, Zhe Yang, and Guangrui Wen. "Acoustic Emission-Based Weld Crack In-situ Detection and Location Using WT-TDOA." In Transactions on Intelligent Welding Manufacturing, 49–73. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6502-5_3.
Повний текст джерелаDíaz, Jorge G., and Deisy C. Paez. "Identification of Crack Tip Location Using Edge Detection Algorithms and Artificially Generated Displacement Fields." In Lecture Notes in Electrical Engineering, 1–8. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53021-1_1.
Повний текст джерелаAggelis, Dimitrios G., Markus G. R. Sause, Pawel Packo, Rhys Pullin, Steve Grigg, Tomaž Kek, and Yu-Kun Lai. "Acoustic Emission." In Structural Health Monitoring Damage Detection Systems for Aerospace, 175–217. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72192-3_7.
Повний текст джерелаRanjan, Rajeev. "Dynamic Behaviour and Crack Detection of a Multi Cracked Rotating Shaft using Adaptive Neuro-Fuzzy-Inference System." In Fuzzy Systems, 1540–51. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1908-9.ch062.
Повний текст джерелаLi, Xinhai, Qifeng Luo, Qingzhu Zeng, Xinxiong Zeng, Chao Yan, and Kai Zhang. "Composite Insulator Defect Identification Method Using Improved RCNN Convolution Kernel." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220002.
Повний текст джерелаAmmari, Habib, Elie Bretin, Josselin Garnier, Hyeonbae Kang, Hyundae Lee, and Abdul Wahab. "Backpropagation and Multiple Signal Classification Imaging of Small Inclusions." In Mathematical Methods in Elasticity Imaging. Princeton University Press, 2015. http://dx.doi.org/10.23943/princeton/9780691165318.003.0006.
Повний текст джерелаGu, Jing, and Ying-hui Li. "A Bridge Disease Detection Method Based on Improved YOLOX Algorithm." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230084.
Повний текст джерелаТези доповідей конференцій з теми "Crack location detection"
Zhang, Pugen, Shaoping Zhou, and Wenchao Lv. "Detection of Defects in Pipes and Elbows Using Guided Waves." In ASME 2014 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/pvp2014-28512.
Повний текст джерелаBonnin-Pascual, F., and A. Ortiz. "Combination of weak classifiers for metallic corrosion detection and guided crack location." In Factory Automation (ETFA 2010). IEEE, 2010. http://dx.doi.org/10.1109/etfa.2010.5641267.
Повний текст джерелаCai, Youfa, Xing Fu, Yanna Shang, and Jingxin Shi. "Methods for Long-Distance Crack Location and Detection of Concrete Bridge Structures." In 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC). IEEE, 2018. http://dx.doi.org/10.1109/icivc.2018.8492764.
Повний текст джерелаMcKee, Kristoffer K., and C. James Li. "Rotor Transverse Crack Detection and Diagnosis Using Embedded Modeling." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-43504.
Повний текст джерелаAltammar, Hussain, Anoop Dhingra, and Sudhir Kaul. "Use of Wavelets for Mixed-Mode Damage Diagnostics in Warren Truss Structures." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34017.
Повний текст джерелаMeng, G., and Eric J. Hahn. "Dynamic Response of a Cracked Rotor With Some Comments on Crack Detection." In ASME 1994 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/94-gt-029.
Повний текст джерелаRehman, A. U., J. A. Rongong, and K. Worden. "Detection of Damage in Repeating Structures." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-23351.
Повний текст джерелаRatan, Santosh, Haim Baruh, and Jorge Rodriguez. "On-Line Identification and Location of Rotor Cracks." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0042.
Повний текст джерелаSekhar, A. S., and P. Balaji Prasad. "Crack Identification in a Cantilever Beam Using Coupled Response Measurements." In ASME 1997 Turbo Asia Conference. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-aa-025.
Повний текст джерелаHaji, Z. N., and S. O. Oyadiji. "Detection of Cracks in Stationary Rotors via the Modal Frequency Changes Induced by a Roving Disc." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20611.
Повний текст джерелаЗвіти організацій з теми "Crack location detection"
Denowh, Chantz, and David Futch. PR-652-213801-R01 Technology Assessment for Detection of Fatigue Cracks on Heavy Wall Gas Risers. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 2022. http://dx.doi.org/10.55274/r0012198.
Повний текст джерелаGinzel. L51748 Detection of Stress Corrosion Induced Toe Cracks-Advancement of the Developed Technique. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), March 1996. http://dx.doi.org/10.55274/r0010659.
Повний текст джерелаHayford. L51566 Ultralow Frequency Eddy Current Instrument for the Detection and Sizing of Stress Corrosion Cracks. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 1988. http://dx.doi.org/10.55274/r0010601.
Повний текст джерелаYan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.
Повний текст джерелаBerney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40401.
Повний текст джерела