Showing 601 - 620 results of 813 for search 'detection cracking', query time: 0.09s Refine Results
  1. 601

    Comprehensive Analysis of Major Fault-to-Failure Mechanisms in Harmonic Drives by Roberto Guida, Antonio Carlo Bertolino, Andrea De Martin, Massimo Sorli

    Published 2024-11-01
    “…The analysis of fault-to-failure mechanisms, including wear, pitting, and crack propagation, shows how early detection strategies, such as vibration analysis and proactive maintenance approaches, can improve system reliability. …”
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    Article
  2. 602

    Design of an Improved Model for Gear Fault Diagnosis Using Acoustic Data and EfficientNet-Based Deep Learning Process by Bundele Shubham, Kane P.V.

    Published 2025-01-01
    “…Traditional methods of fault detection, such as vibration-based analysis, are restricted in terms of sensor placement, high sensitivity to environmental noise, and sheer incapacity to identify subtle gear anomalies. …”
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    Article
  3. 603

    A Signal-Based Data Fusion Approach in Non-DestructiveTesting of Composite Materials in the Aerospace Industry by Tom Avikasis Cohen, Anna Brook

    Published 2025-03-01
    “…Shearography, an optical technique that assesses surface deformation under stress, reveals defects by analyzing interference patterns from laser light, particularly useful for detecting cracks and voids. Despite its sensitivity to stress-induced anomalies in composites, it requires a stable environment due to susceptibility to vibrations. …”
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    Article
  4. 604

    PRODUCTS NONDESTRUCTIVE TESTING PART WHEN ANALYZING THE CAUSES OF FAILURES AND ESPECIALLY OF THEIR CHOICE IN APPLYING IN SPECIFIC CONDITIONS by V. M. Samoilenko, D. N. Kochkin, O. E. Zubov

    Published 2016-11-01
    “…A clear classification of NDT methods according to the criteria: applicability in limited conditions, the sensitivity in detecting the most dangerous defect - crack, weld defects and corrosion damages detection are given.…”
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    Article
  5. 605

    Numerical simulation of a heat generation in a layered material during ultrasonic wave propagation by Anastasiia Kostina, Oleg Plekhov, Sergey Aizikovich

    Published 2018-09-01
    “…In this work, a three-dimensional numerical simulation of this process is applied to the bi-metallic layered structure with an edge crack. Two models of energy dissipation are considered (hysteretic damping model and visco-elastic Maxwell’s model) for simulation of energy dissipation in a crack tip area under ultrasonic loading. …”
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    Article
  6. 606

    CT-Based Defect Analysis in Aluminium Rotor End Rings by István Kozma, Ibolya Zsoldos

    Published 2024-11-01
    “…During the casting technology, care must be taken to ensure that there are as few cracks and porosities as possible in the volume and that their distribution is homogeneous. …”
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    Article
  7. 607

    RoadDiffBox: Automatic Road Distress Diagnosis through Controlled Image Generation and Semi-Supervised Learning by Yuanyuan Hu, Ning Chen, Hancheng Zhang, Yue Hou, Pengfei Liu

    Published 2025-01-01
    “…During the designed service life, road infrastructures will bear repeated loading conditions from vehicle weights and environmental conditions, resulting in the inevitable occurrence of road distresses including cracks, potholes, etc. The traditional inspection methods by transportation engineers are normally costly and labor-intensive. …”
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    Article
  8. 608

    Multispectral image fusion method based on edge chromatic aberration by Y. Shi, D. Qiu, R. Wu, R. Wu, W. Niu, Z. Wang

    Published 2025-07-01
    “…<br />Experiments show that the multispectral image fusion method based on edge color difference significantly improves the performance of road damage analysis on the self-built BUCEA-MS-Road-Damage dataset: the edge IoU in the detection task is increased to 80.1% (+1.3%), and the target detection accuracy is 92.3% (+3.6%); the accuracy and recall of the classification task are increased to 91.3% (+3.0%) and 89.8% (+3.0%) respectively; the Dice coefficient of the segmentation task is 83.3% (+3.0%). …”
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    Article
  9. 609
  10. 610

    Early identification on failure mode of loess landslide: insight from case study and physical model experiment by Ran Li, Ran Li, Ran Li, Jiangkun He, Han Zheng, Chenyuan Zhang, Shuai Zhang, Shuai Zhang, Shuai Zhang

    Published 2024-11-01
    “…As these tensile cracks propagate, the landslide are prone to sudden instability under external triggering factors. …”
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    Article
  11. 611

    CURRENT LITERATURE REVIEW ON IMAGE PROCESSING ANALYSIS FOR CONCRETE DAMAGE ASSESMENT by Usman Wijaya, Yogi Yulianto, Emon Haryanto

    Published 2024-09-01
    “…The data observed were the first is damage to concrete, which included surface cracks, hairlines, crack width, patterns, holes, diagonal cracks, longitudinal cracks, and transverse cracks. …”
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    Article
  12. 612

    Artificial neural network based delamination prediction in composite plates using vibration signals by T. G. Sreekanth, M. Senthilkumar, S. Manikanta Reddy

    Published 2023-01-01
    “…Dynamic loading on composite components may induce damages such as cracks, delaminations, etc. and development of an early damage detection technique for delamination prediction is one of the most important aspects in ensuring the integrity and safety of such components. …”
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    Article
  13. 613

    Integration of SEM and acoustic emission methods in non-destructive evaluation of fiber–cement boards exposed to high temperatures by Zawiślak Łukasz

    Published 2025-04-01
    “…This study showed that the AE method allows for the early detection of damage, such as microcracks and the separation of fibers from the cement matrix, before these changes become visible in SEM analysis. …”
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    Article
  14. 614

    Stereo Vision Method Application to Road Inspection by Marcin Staniek

    Published 2017-03-01
    “…The use of matching measure CoVar, at the stage of images matching, help eliminate corner detection and filter stereo images, maintaining the effectiveness of the algorithm mapping. …”
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    Article
  15. 615

    An Investigation on Prediction of Infrastructure Asset Defect with CNN and ViT Algorithms by Nam Lethanh, Tu Anh Trinh, Mir Tahmid Hossain

    Published 2025-05-01
    “…An empirical study was conducted using a database of cracks. The severity of crack is categorized into binary states: “with crack” and “without crack”. …”
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    Article
  16. 616

    Artificial neural network based delamination prediction in composite plates using vibration signals by T. G. Sreekanth, M. Senthilkumar, S. Manikanta Reddy

    Published 2022-12-01
    “… Dynamic loading on composite components may induce damages such as cracks, delaminations, etc. and development of an early damage detection technique for delaminations is one of the most important aspects in ensuring the integrity and safety of composite components. …”
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    Article
  17. 617

    Response Characteristics of Array Induction Logging in Fractured Formation by GUO Hongbo, GUO Yunlong, ZHOU Lei, CAO Fuhua

    Published 2025-02-01
    “…When there are multiple cracks, the number of cracks will affect the shallow detection curve. …”
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    Article
  18. 618

    FAILURE MODES AND EFFECTS ANALYSIS (FMEA) ON TRACK INFRASTRUCTURE INTEGRITY ASSESSMENT by Angga Ahmad Maulana, IGN Wiratmaja Puja, Satrio Wicaksono

    Published 2024-12-01
    “…Then a survey was conducted to track maintenance experts at PT Kereta Api Indonesia (Persero) to get the value of severity, occurrence, detection, and recommended actions taken. Based on the analysis, the failure mode with the highest Risk Priority Number (RPN) is the cracked rail on the welding/fish plate joint with a value of 280, while the failure mode with the lowest RPN is the loose rail with a value of 108. …”
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    Article
  19. 619

    CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

    Published 2024-12-01
    “…By detecting and addressing faults early, systems can maintain optimal performance levels. …”
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    Article
  20. 620

    Experimental and Numerical Analysis of the Potential Drop Method for Defects Caused by Dynamic Loads by Erik Schneegans, Jingrun Zhang, Joachim Hug, Christian Rembe

    Published 2025-01-01
    “…The potential drop method (PDM) is employed for defect detection in conductive specimens by measuring the change in impedance. …”
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    Article