Showing 561 - 580 results of 813 for search 'detection cracking', query time: 0.08s Refine Results
  1. 561

    Investigations on the Use of Kairomone and Pheromone Attractants for Control of Thrips Species (Thysanoptera: Thripidae) by Mass-trapping in Nectarine Orchards by Murat Ölçülü, Adalet Hazir, Naim Öztürk

    Published 2020-09-01
    “…In cases of high thrips populations, cracking and splitting of the fruit in accompany to superficial damage causes the fruit to be discarded. …”
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    Article
  2. 562

    Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

    Published 2025-03-01
    “…Abstract The detection of cracks in large structures is of critical importance, as such damage can result not only in significant financial costs but also pose serious risks to public safety. …”
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    Article
  3. 563
  4. 564

    Using X-ray Microscopy to Probe Failure Mechanisms in Anode-free Cells: An Industry Perspective by Jeffrey S. Lowe, Umamaheswari Janakiraman, Greg Less, Robert Kerns, Nancy S. Muyanja

    Published 2024-01-01
    “…At the cathode, large porosity changes are detected at the EOL, potentially owing to NCM (LiNi _x Co _y Mn _z O _2 ) particle cracking.…”
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    Article
  5. 565

    Study on the Thermal Oxidation Surface Modification and Deformation Behavior of NiTi Alloys by YU Fei, XIE Dong

    Published 2025-07-01
    “…In order to investigate the effects of thermal oxidation surface modification on the properties of NiTi alloys,the effect of preparing oxide films on NiTi alloys by thermal oxidation technique at different temperatures (300~700 ℃) in atmospheric environment was investigated.The research primarily focused on analyzing the morphology,composition,phase structure,phase transformation temperatures and mechanical properties of the Ti-O films formed at different thermal oxidation temperatures.The influence of thermal oxidation on the superelasticity and shape memory effect of NiTi alloys was investigated through tensile tests and water bath heating method.The surface morphology,phase structure,phase transformation temperatures and hardness of the thermally oxidized samples after plane stretching and water bath heating were characterized using scanning electron microscopy (SEM),X-ray diffractometer (XRD),differential scanning calorimetry (DSC) and hardness testing.Results showed that at lower thermal oxidation temperatures (300~400 ℃),the oxide layer formed on the NiTi alloy surface was very thin,and no titanium oxide coating was detected.When the thermal oxidation temperature reached 600 ℃,a dense rutile-TiO2 film formed on the surface,but it was prone to cracking and peeling after tensile deformation,exhibiting poor film-substrate adhesion,which was insufficient to meet practical application requirements.Tensile and water bath heating tests showed that when the thermal oxidation temperature exceeded 400 ℃,the reverse phase transformation of the NiTi alloy during unloading could not be completed,leading to a degradation of its superelastic properties.However,after water bath heating,the B19’→B2 martensitic reverse phase transformation was completed,indicating that high-temperature oxidation did not affect the shape memory effect of the NiTi substrate.These results provided important theoretical and experimental references for studying the film-substrate adhesion and coordination properties of thermally oxidized NiTi alloys.…”
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  6. 566

    Mapping Longitudinal and Transverse Displacements of a Dam Crest Based on the Synergy of High-Precision Remote Sensing by Fabiola D. Yépez-Rincón, Adrián L. Ferriño Fierro, Andrea N. Escobedo Tamez, Víctor H. Guerra Cobián, Olmo E. Pinedo Sandoval, Jorge H. Chávez Gómez, Luis C. Alatorre Cejudo, Saied Pirasteh

    Published 2024-01-01
    “…A ground laser scanner (GLS) produced 3D digital models with geometrical and radiometric characteristics, detecting displacements among the dam crest elements. …”
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    Article
  7. 567

    Structural Safety Assessment of Existing Multiarch Tunnel: A Case Study by Jinxing Lai, Junling Qiu, Haobo Fan, Jianxun Chen, Zhinan Hu, Qian Zhang, Junbao Wang

    Published 2017-01-01
    “…To evaluate the actual operational state of Shitigou tunnel, overall detection of the liner crack, tunnel seepage, and liner void was conducted by employing the modern detection technology, such as crack width monitoring technology, concrete strength monitoring technology, and electromagnetic wave nondestructive monitoring technology. …”
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    Article
  8. 568

    Visual Inspection of the Aircraft Surface Using a Teleoperated Reconfigurable Climbing Robot and Enhanced Deep Learning Technique by Balakrishnan Ramalingam, Vega-Heredia Manuel, Mohan Rajesh Elara, Ayyalusami Vengadesh, Anirudh Krishna Lakshmanan, Muhammad Ilyas, Tan Jun Yuan James

    Published 2019-01-01
    “…Aircraft surface inspection includes detecting surface defects caused by corrosion and cracks and stains from the oil spill, grease, dirt sediments, etc. …”
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    Article
  9. 569

    Comparative Study on Rail Damage Recognition Methods Based on Machine Vision by Wanlin Gao, Riqin Geng, Hao Wu

    Published 2025-07-01
    “…This study systematically evaluated three object detection models—YOLOv8, SSD, and Faster R-CNN—in terms of detection accuracy (<i>mAP</i>), missed detection rate (<i>mAR</i>), and training efficiency. …”
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  10. 570

    TECHNICAL DIAGNOSTICS AT RUP “BMZ” by A. A. Kuzembajev

    Published 2004-08-01
    “…The review of technical diagnostics and crack detection at RUP “BMZ” is given in the article and there are reflected the functions and tasks of the Laboratory of Technical Diagnostics and Crack detection (LTDandC). …”
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  11. 571

    Multi-defect type beam bridge dataset: GYU-DET by Ruiping Li, Linchang Zhao, Hao Wei, Guoqing Hu, Yongchi Xu, Bocheng Ouyang, Jin Tan

    Published 2025-07-01
    “…Abstract This paper proposes the GYU-DET dataset for bridge surface defect detection, aiming to address the limitations of existing datasets in terms of scale, annotation accuracy, and environmental diversity. …”
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    Article
  12. 572
  13. 573

    In situ monitoring of defects in steel structures using a robot‐assisted ultrasonic inspection technique by Hamidreza Besharatifard, Saeed Hasanzadeh

    Published 2024-11-01
    “…Real‐time and early detection of cracks and defects in the steel used for the construction of industrial sites can bring many benefits to remote operators and site managers. …”
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    Article
  14. 574

    The Effect of Post-Deposition Heat Treatment on the Microstructure, Texture, and Mechanical Properties of Inconel 718 Produced by Hybrid Wire-Arc Additive Manufacturing with Inter-... by Dmitrii Panov, Gleb Permyakov, Stanislav Naumov, Vladimir Mirontsov, Egor Kudryavtsev, Liying Sun, Alexander Aksenov, Nikita Stepanov, Dmitriy Trushnikov, Gennady Salishchev

    Published 2025-01-01
    “…In the as-printed material, particles of (Nb,Ti)C and TiN, and precipitates of a Nb-rich Laves phase that caused premature cracking and failure during mechanical testing, were detected. …”
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  15. 575

    Superresolution Reconstruction of Electrical Equipment Incipient Fault by Manran Wang, Li Guo, Jinhao Chen, Bingqi Lv, Yang Yang

    Published 2018-01-01
    “…However, in some special situation, some fault is very small even invisible, such as equipment aging, holes, and cracks, so the detection of these incipient faults is difficult or even impossible. …”
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    Article
  16. 576

    Research on highway road condition intelligent assessment and optimization system based on deep learning and internet of things by Tingquan He, Changhai Wang, Riyan Lan, Haiyu Luo

    Published 2025-12-01
    “…One of the core components of an intelligent highway road condition assessment system is the ability to accurately detect and classify objects in real-time, such as potholes, cracks, debris, and traffic signs. …”
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    Article
  17. 577
  18. 578

    Nonadjacent dependencies and sequential structure of chimpanzee action during a natural tool-use task by Elliot Howard-Spink, Misato Hayashi, Tetsuro Matsuzawa, Daniel Schofield, Thibaud Gruber, Dora Biro

    Published 2024-12-01
    “…Interindividual variability was detected within our analysis in both the maximum distance dependencies were detected, and the most likely structuring mechanism for sequential action organization. …”
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  19. 579

    Deep learning models for analysis of non‐destructive evaluation data to evaluate reinforced concrete bridge decks: A survey by Dayakar Naik Lavadiya, Sattar Dorafshan

    Published 2025-01-01
    “…Interpertation of NDE data for autonomous deck evaluation requires development of DL models; however, The task of defect detection DL has not received the proper attention for subsurface defect detection in the past. …”
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    Article
  20. 580